90 (1), 43-56.
Full Text: 2012\Scientometrics90, 43.pdf
Abstract: In order to explore new scientific and innovative communities, analyses based on a technological infrastructure and its related tools, for example, ‘Web of science’ database for Scientometric analysis, are necessary. However, there is little systematic documentation of social media data and webometric analysis in relation to Korean and broader Asian innovation communities. In this short communication, we present (1) webometric techniques to identify communication processes on the Internet, such as social media data collection and analysis using an API-based application; and (2) experimentation with new types of data visualization using NodeXL, such as social and semantic network analysis. Our research data is drawn from the social networking site, Twitter. We also examine the overlap between innovation communities in terms of their shared members, and then, (3) calculate entropy values for trilateral relationships.
Keywords: Analysis, Communication, Data Collection, Documentation, Indicators, Innovation, Internet, Network, Network Analysis, Research, Science, Social, Social Media, Systematic, Twitter, Visualization, Web of Science, Webometrics
? Hossain, M.D., Moon, J., Kang, H.G., Lee, S.C. and Choe, Y.C. (2012), Mapping the dynamics of knowledge base of innovations of R&D in Bangladesh: Triple helix perspective. Scientometrics, 90 (1), 57-83.
Full Text: 2012\Scientometrics90, 57.pdf
Abstract: Triple helix (TH) collaborations involving university, industry and government provide a networked infrastructure for shaping the dynamic fluxes of knowledge base of innovations locally and these fluxes remain emergent within the domains. This study maps these emergence dynamics of the knowledge base of innovations of Research & Development (R&D) by exploring the longitudinal trend of systemness within the networked research relations in Bangladesh on the TH model. The bibliometric data of publications collected from the Science Citation Index (SCI), the social sciences and the arts and humanities for analysis of science indicators and the patent data collected from the US Patent Office to analyze the patent success ratio as a measure of innovation within TH domains. The findings show that the network dynamics have varied considerably according to the R&D policies of the government. The collaboration patterns of co-authorship relations in the SCI publications prominently increased, with some variation, from 1996 to 2006. Nevertheless, inter-institutional collaboration negatively influenced by the national science and technology (S&T) research policies in the last 5 years due to their evaluation criteria. Finally, the findings reveal that the R&D system of Bangladesh is still undergoing a process of institutionalizing S&T and has failed to boost its research capacity for building the knowledge base of innovations by neglecting the network effects of TH dynamics.
Keywords: Analysis, Bangladesh, Bangladesh Government, Bibliometric, Capacity, Citation, Co-Authorship, Coauthorship, Collaboration, Collaborations, Evaluation, Indicators, Industry, Innovation, Innovations, Knowledge, Korea, Model, Network, Patent, Policies, Process, Publications, Ratio, Research, Research & Development, Research Capacity, SCI, Science, Science And Technology, Science Citation Index, Sciences, Social, Social Sciences, Success, Systems, Terms, Trend, Triple Helix, University, University-Industry-Government, US
? Khan, G.F., Cho, S.E. and Park, H.W. (2012), A comparison of the Daegu and Edinburgh musical industries: A triple helix approach. Scientometrics, 90 (1), 85-99.
Full Text: 2012\Scientometrics90, 85.pdf
Abstract: The Triple Helix (TH) model and its indicators are typically used for exploring university-industry-government relations prevalent in knowledge-based economies. However, this exploratory study extends the TH model, together with webometric analysis, to the musical industry to explore the performance of social hubs from the perspective of entropy and the Web. The study investigates and compares two social hubs-Daegu and Edinburgh-from the perspective of musicals by using data obtained through two search engines (Naver.com and Bing.com). The results indicate that although Daegu is somewhat integrated into the local musical industry, it is not yet fully embedded in the international musical industry, even though it is international in scope. In terms of social events (i.e., musicals), unlike Daegu, Edinburgh is fully integrated into both the local and international musical industries and attracts diverse domains over the Internet.
Keywords: Analysis, Daegu, Edinburgh, Indicators, Industries, Industry, Internet, Model, Musical, Social, Social Event, Triple Helix Model
? Kim, H., Huang, M., Jin, F., Bodoff, D., Moon, J. and Choe, Y.C. (2012), Triple helix in the agricultural sector of Northeast Asian countries: A comparative study between Korea and China. Scientometrics, 90 (1), 101-120.
Full Text: 2012\Scientometrics90, 101.pdf
Abstract: In this paper, the agricultural innovation systems of two Northeast Asian countries-Korea and China-are investigated and compared from the perspective of triple helix innovation. Specifically, the current study examines the nature of agricultural innovation of the two countries and considers agricultural R&D investments and activities as well as the roles of university, industry, and government (UIG), which are the three units comprising the triple helix. As an empirical extension of the qualitative analysis, we collected bibliometric information of agricultural scientific publications from 1990 to 2010 and patent information from 1980 to 2010. By calculating transmission of uncertainty, which indicates collaboration among UIG, this paper tracks the relationship dynamics of the units comprising the triple helix. In addition, we analyze topics in scientific publications and patents in order to observe and compare the subareas that are the focus in the two countries. The findings reveal both commonalities and differences between the two countries, thus providing knowledge of and insights into the agricultural sector.
Keywords: Activities, Agricultural Sector, Analysis, As, Bibliometric, China, Collaboration, Comparative Study, Differences, Entropy, Industry, Information, Innovation, Innovation Systems, Knowledge, Korea, Model, Patent, Publications, Qualitative, R&D, Scientific Publications, South-Korea, Technology, Topics, Triple Helix, University, University-Industry-Government
? Kim, M. and Park, H.W. (2012), Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators. Scientometrics, 90 (1), 121-140.
Full Text: 2012\Scientometrics90, 121.pdf
Abstract: This study investigates the role of Twitter in political deliberation and participation by analyzing the ways in which South Korean politicians use Twitter. In addition, the study examines the rise of Twitter as user-generated communication system for political participation and deliberation by using the Triple Helix indicators. For this, we considered five prominent politicians, each belonging to one of four political parties, by using data collected in June 2010. The results suggest that non-mainstream, resource-deficient politicians are more likely to take advantage of Twitter’s potential as an alternative means of political participation and that a small number of Twitter users lead political discourse in the Twittersphere. We also examined the occurrence and co-occurrence of politicians’ names in Twitter posts, and then calculate entropy values for trilateral relationships. The results suggest that the level of political deliberation, expressed in terms of the level of balance in the communication system, is higher when politicians with different political orientations form the trilateral relationships.
Keywords: Alternative, Balance, Communication, Indicators, Korea, Lead, Network, Participation, Polarization, Politician, Revolution, Social, Social Network, Triple Helix, Twitter, Web
? Kondo, M. (2012), A public research institute that created and led a large industrial group in Japan. Scientometrics, 90 (1), 141-162.
Full Text: 2012\Scientometrics90, 141.pdf
Abstract: The importance of domestic technology transfer from the public sector (universities and public research institutes) to industry is increasing in the era of science-driven innovation. One of the purposes of a triple helix of evolving university-government-industry relations is how to make use of universities and public research institutes for industrial development. This paper first discusses the means of domestic technology transfer and points out that spinning off companies is one ultimate way to transfer technology, after discussing the relation between a triple helix and technology transfer. Then, this paper presents a unique case of a public research institute before the end of World War II in Japan. This research institute established 63 companies, such as Ricoh and Okamoto. At the same time the institute excelled in science as well. The first two Nobel Prize Laureates of Japan were researchers of this research institute. The paper discusses the management of this institute and its group companies and enabling environment surrounding the institute and its group companies at that time. At the end, the paper draws some lessons for public research institutes and their spin-off companies today.
Keywords: Development, Environment, Industry, Industry Groups, Innovation, Japan, Management, Nobel Prize, Performance, Points, Public Research, Public Research Institutes, Research, Researchers, Science, Spin-Offs, Technology, Technology Transfer, Triple Helix, Universities
? Kwon, K.S., Park, H.W., So, M. and Leydesdorff, L. (2012), Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea. Scientometrics, 90 (1), 163-176.
Full Text: 2012\Scientometrics90, 163.pdf
Abstract: We trace the structural patterns of co-authorship between Korean researchers at three institutional types (university, government, and industry) and their international partners in terms of the mutual information generated in these relations. Data were collected from the Web of Science during the period 1968-2009. The traditional Triple-Helix indicator was modified to measure the evolving network of co-authorship relations. The results show that international co-authorship relations have varied considerably over time and with changes in government policies, but most relations have become stable since the early 2000s. In other words, the national publication system of Korea has gained some synergy from R&D internationalization during the 1990s, but the development seems to stagnate particularly at the national level: whereas both university and industrial collaborations are internationalized, the cross-connection within Korea has steadily eroded.
Keywords: Co-Authorship, Coauthorship, Collaborations, Development, Globalization, Impact, Industry, Information, Innovation, Innovation, International Collaboration, Korea, Modified, Mutual Information, National Research System, Network, Networks, Policies, Productivity, Publication, Quality, R&D, R&D Internationalization, Research, Research Collaboration, Researchers, Science, Self-Organization, South Korea, Traditional, Triple Helix, University, University-Industry-Government, University-Industry-Government Relationship, Web of Science
? Kwon, K.S. and Martin, B.R. (2012), Synergy or separation mode: The relationship between the academic research and the knowledge-transfer activities of Korean academics. Scientometrics, 90 (1), 177-200.
Full Text: 2012\Scientometrics90, 177.pdf
Abstract: What factors influence the relationship between the academic research and the knowledge- transfer activities of academics, in particular in ‘catch-up’ countries like South Korea? To address this research question, after first conducting a critical review of existing theoretical and empirical studies, we put forward a conceptual framework based on the twin concepts of ‘synergy’ and ‘separation’ modes, together with a number of accompanying hypotheses. These hypotheses, along with others that emerged from subsequent interviews, are then tested using various statistical models. After taking into account the specific characteristics of scientific communities in rapidly catching-up counties such as Korea, we find that not only are individual characteristics (such as the gender, age, discipline, and patenting activity) of academics significantly related to the generation of a ‘synergy mode’ (i.e. a positive relationship between academic research and knowledge-transfer activities) among academics, but so too are a number of contextual characteristics (e.g. laboratory size and type of university).
Keywords: Academics, Activities, Entrepreneurial, Exploration, Gender, Industry, Innovation Systems, Knowledge, Knowledge Transfer, Korea, Performance, Productivity, Research, Review, Science, Scientists, Separation, South Korea, South-Korea, Statistical, Synergy, Synergy And Separation Modes, Third Mission, Universities, University, University-Research
? Lee, M. and Park, H.W. (2012), Exploring the web visibility of world-class universities. Scientometrics, 90 (1), 201-218.
Full Text: 2012\Scientometrics90, 201.pdf
Abstract: With the rapid development of the Internet, there is a need for evaluating the public visibility of universities on the Internet (i.e., web visibility) in terms of its implications for university management, planning, and governance. The data were collected in December 2010 by using Yahoo, one of the most widely used search engines. Specifically, we gathered “Single Mention” data to measure the number of times that each university was mentioned on websites. In addition, we collected network-based data on Single Mentions. We obtained another data set based on the 2010 world university rankings by Shanghai Jiao Tong University (SJTU). We employed several analytical methods for the analysis, including correlations, nonparametric tests (e.g., the Mann-Whitney test), and multidimensional scaling (MDS). The significant positive correlation between university rankings and web visibility suggests that indicators of web visibility can function as a proxy measure of conventional university rankings. Another distinctive implication can be drawn from the pattern of a disparity in web visibility stemming from the linguistic divide, that is, universities in English-speaking countries dominated the central positions in various network structures of web visibility, whereas those in non-English-speaking countries were located in the periphery of these structures. In this regard, further research linking web visibility to university management, planning, and governance is needed.
Keywords: Academic Web, Analysis, Departments, Development, Disparity, Indicators, Inlinks, Internet, Management, Network, Nonparametric, Patterns, Rankings, Research, Site Interlinking, Telecommunications Network, Universities, University, Visibility, Web Visibility, Webometrics, Websites, World University Rankings
? Lee, Y.G. (2012), Strengthening competency linkage to innovation at Korean universities. Scientometrics, 90 (1), 219-230.
Full Text: 2012\Scientometrics90, 219.pdf
Abstract: The era of open and sustainable innovation has opened and requested new kinds of human resources (HRs) development at Korean universities. Typical academic and vocational education at universities does not effectively work in the age of technological convergence and open innovation. Knowledge and skills for Green growth and rapid technological innovation demand very skilful, broad, and complex competencies of HRs. Competencies for green growth and disruptive innovation are outlined and various methods to increase competencies at Korean universities are suggested in this study. This study explores the kinds of competencies for future society and suggests how university can contribute to cultivate talents for HRs with multi-functional and high competencies. The author takes a sketch of competence and skill structure in Korea, summarized in value chain of competencies among HRs with high competencies, HRs with medium competencies, and HRs with low competencies. Particularly the author addresses innovation oriented fields such as engineering and chemistry/pharmaceuticals, therefore, the picture can be different from typical manufacturing sectors such as automobile and shipbuilding. However, the manufacturing fields are also progressing into innovation centred sectors. And then the author explores the flow of each HRs according to levels and fields and how they affect Korean innovation system.
Keywords: Academic Education, Author, Collaboration, Competencies, Competency, Development, Education, Firms, Growth, Human, Human Resources Circulation, Industry-Government Relations, Innovation, Innovation System, Issue, Knowledge, Korea, Korean Universities, Low, Model, Performance, Skills, Systems, Technological Innovation, Triple-Helix, Universities, University, Us Patents, Value Chain, Vocational, Vocational Education
? Lei, X.P., Zhao, Z.Y., Zhang, X., Chen, D.Z., Huang, M.H. and Zhao, Y.H. (2012), The inventive activities and collaboration pattern of university-industry-government in China based on patent analysis. Scientometrics, 90 (1), 231-251.
Full Text: 2012\Scientometrics90, 231.pdf
Abstract: China’s economy and technology have experienced spectacular growth since the Opening-up Policy adopted in 1978. In order to explore the innovation process and development of China, this study examines the inventive activities and the collaboration pattern of university, industry and government (UIG) in China. This study analyzes the Chinese patent data retrieved from the United States Patent and Trademark Office. Three models of UIG relations which represent different triple helix configurations are introduced. According to the property of patent assignee, patent ownership can be divided into three types: individuals, enterprises, and universities and research institutes. Furthermore, enterprises can be classified into state-owned enterprise (SOE), private-owned enterprise (POE) and foreign enterprise (FE). The corresponding relationship of patent ownership with UIG is set up. Through analyzing the issued year, it is found that the inventive activities of China have experienced three developmental phases and have been promoted quickly in recent years. The achievement of innovation activities in China primarily falls on the enterprise, especially FEs and POEs. The innovation strengths of the three development phases have shifted from government to university and research institute and then industry. According to co-patent analysis, it is found that the collaboration between university and industry is the strongest and has been intensified in recent years, but other forms of collaboration among UIG have been weak. In addition, an innovation relation model of China was set up. The evolution process of innovation systems was explored, from etatistic model, followed by improved “laissez-faire” model, and then shifting toward triple helix model.
Keywords: Achievement, Activities, Analysis, China, Collaboration, Development, Evolution, Falls, Fe, Firms, Growth, Industry, Innovation, Model, Patent, Patent Analysis, Policy, Process, Research, Triple Helix, Triple-Helix, United States, Universities, University, University-Industry-Government
? Liang, L.M., Chen, L.X., Wu, Y.S. and Yuan, J.P. (2012), The role of Chinese universities in enterprise-university research collaboration. Scientometrics, 90 (1), 253-269.
Full Text: 2012\Scientometrics90, 253.pdf
Abstract: In this paper the role of Chinese universities in enterprise-university research collaboration is investigated. This study focuses on a special aspect of the collaboration-co-authored articles. The two cases are analyzed: (1) research collaboration between Baosteel Group Corporation and Chinese universities; (2) research collaboration between China Petroleum & Chemical Corporation and Chinese universities. The co-authorship data over the period 1998-2007 were searched from CNKI database, the largest Chinese publication and citation database. The main findings are as follows: the number of articles co-authored by enterprise and university scientists has been increasing rapidly; the share of co-authored articles has been growing; the authors from universities are more possible to be the first authors; as a whole, enterprise-university co-authored articles tend to receive more citations and get downloaded more frequently; a mathematical orientation emerges in the enterprise-university articles. To reveal and describe such a trend the methods of keywords analysis and co-occurrence analysis are applied. The Chinese government’s policy instruments and substantial supports for pushing and improving enterprise-university research collaboration are introduced and analyzed.
Keywords: Age Structures, Analysis, Authors, China, Chinese Universities, Citation, Citations, Co-Authored Articles, Co-Authorship, Coauthorship, Collaboration, Collnet, Enterprise-University Research Collaboration, Government, Industry, Mathematical Orientation, Network, Patterns, Policy, Publication, Publications, Research, Research Collaboration, Scientific Collaboration, Trend, Triple-Helix, Universities, University
? Shapiro, M.A. and Park, H.W. (2012), Regional development in South Korea: accounting for research area in centrality and networks. Scientometrics, 90 (1), 271-287.
Full Text: 2012\Scientometrics90, 271.pdf
Abstract: This paper provides a first-ever look at differences of centrality scores (i.e., networks) over time and across research specializations in Korea. This is a much needed development, given the variance which is effectively ignored when Science Citation Index (SCI) publications are aggregated. Three quantitative tests are provided-OLS, two sample t-tests, and unit-root tests-to establish the patterns of centrality scores across Korea over time. The unit-root test is particularly important, as it helps identify patterns of convergence in each region’s centrality scores. For all other geographic regions besides Seoul, Gyeonggi, and Daejeon, there appears to be little promise-at least in the immediate future-of being network hubs. For these top three regions, though, there is a pattern of convergence in three-quarters of all research specializations, which we attribute in part to policies in the mid- and late-1990s.
Keywords: Centrality, China, Citation, Collaboration, Convergence, Density, Development, Differences, Fragmentation, Innovation Systems, Korea, Korean NIS, Network, Network Analysis, Policies, Publications, Quantitative, Regional Development, Research, SCI, Science, Science Citation Index, South Korea, Tests
? Shapiro, M.A. (2012), Receiving information at Korean and Taiwanese universities, industry, and GRIs. Scientometrics, 90 (1), 289-309.
Full Text: 2012\Scientometrics90, 289.pdf
Abstract: This article examines the incentive structure underlying information transfers received by the three key players of the Triple Helix paradigm: universities, industry, and government research institutes (GRIs). For Korea and Taiwan, which are the cases under analysis here, such an empirical examination has not yet been conducted on a quantitative level. Using a unique dataset of survey responses from a maximum of 325 researchers based in Korean and Taiwanese universities, industry, and GRIs, this article shows that there are some significant differences between and within countries. Most importantly, policy interventions to promote university-industry-GRI interactions impact the degree to which specific information transfers are considered useful. In Korea, formal transfers are emphasized, while both formal and, in particular, informal transfers are emphasized in Taiwan.
Keywords: Analysis, Differences, East Asian Developmental State, Government Relations, Impact, Industry, Information, Information Flows, Information Transfer, Innovation, Interventions, Korea, Organization, Partnerships, Performance, Policy, Public Research, Quantitative, R&D Collaboration, Research, Research-and-Development, Researchers, Science, South-Korea, Survey, Taiwan, Technology Spillovers, Triple Helix, Triple Helix Relations, Triple-Helix, Universities
? Shin, J.C., Lee, S.J. and Kim, Y. (2012), Knowledge-based innovation and collaboration: A triple-helix approach in Saudi Arabia. Scientometrics, 90 (1), 311-326.
Full Text: 2012\Scientometrics90, 311.pdf
Abstract: This study analyzed the research productivity of Saudi academics using the triple-helix model. In the analysis, we combined domestic and international collaboration by three sectors-university, industry, and government-according to the model of the triple-helix. This approach produces better results than by simply including international collaboration as fourth sector. According to the analysis, research collaboration in Saudi Arabia which is measured by the triple-helix, was “-” uncertainty (negative T-value) while scientific productivity has been dramatically increasing since the late 2000s. The triple-helix collaboration does not quite differ between domestic collaboration and “domestic and international” collaborations. In our further analysis, we found that technological development was not based on scientific research in Saudi Arabia; rather, the technological development relies on prior technology (patent references). From that point, Saudi Arabia’s current long-term strategic plan to develop a scientific base for a knowledge-based industry is well aligned to the current contexts of Saudi Arabia.
Keywords: Academic Research, Academics, Analysis, Collaboration, Collaborations, Development, Domestic Collaboration, Industry, Innovation, International Collaboration, Japan, Knowledge-Based Innovation, Linkages, Model, Patent, Productivity, Publication, Research, Research Collaboration, Research Productivity, Saudi Arabia, Science, Science Intensity, Scientific Productivity, Scientific Research, South-Korea, Technology Interactions, Triple-Helix, Universities
? Vanderelst, D., Speybroeck, S. and Speybroeck, N. (2012), The perceived impact of publications on Neglected Tropical Zoonoses as measured by their impact factor. Scientometrics, 90 (2), 331-342.
Full Text: 2012\Scientometrics90, 331.pdf
Abstract: We investigated whether papers on Neglected Tropical Zoonoses are published in journals with lower impact factors than research on diseases with a similar global health burden. We found that, despite being cited equally often, the papers on Neglected Tropical Zoonoses were published in journals with lower impact factors. The scopes of these journals are mainly restricted to Tropical medicine. A clustering analysis revealed that The Lancet, a high impact general medical journal, does pay attention to Neglected Tropical Zoonoses. We discuss our findings in the context of the ongoing discussion about the publishing policies of medical journals. Moreover, our findings stress the importance of recent suggestions that impact factors should not be used for assigning public funding to research (programs) on Neglected Tropical Zoonoses.
Keywords: Analysis, Attention, Behavior, Burden, Burden of Disease, Clustering, Daly, Diseases, Editors, Funding, Health, Impact, Impact Factor, Impact Factors, Journal, Journals, Medical, Medical Journals, Medicine, Neglected Tropical Diseases, Neglected Tropical Zoonoses, Papers, Policies, Publications, Publishing, Quality, Research, Stress, Trends
? Lin, W.Y.C. and Huang, M.H. (2012), The relationship between co-authorship, currency of references and author self-citations. Scientometrics, 90 (2), 343-360.
Full Text: 2012\Scientometrics90, 343.pdf
Abstract: This paper attempts to identify the relationship between co-authorship and the currency of the references and author self-citations in the key journals of environmental engineering. The results show that the self-citation rate of co-authored articles is higher than in single-authored articles. A statistically significant correlation is identified between the numbers of co-authors, the rate of author self-citing and the author self-cited; though it was a low correlation. The value of coefficient correlation between the number of co-authors and the author self-citing rate is slightly higher than that between the number of co-authors and the author self-cited rate, which indicates that the number of co-authors hold a stronger correlation with the self-citing rate than the self-cited rate. Meanwhile, self-citing references are found to be more up-to-date than references to others. The range of publication years of self-citing references is smaller than that of references to others, indicating that researchers tend to preferentially cite their own recent works. There is no significant difference in the latest references between self-citing references and the references to others. It might result from electronic journals that provide an easy access to the most current publications.
Keywords: Articles, Author, Author Self-Citation, Co-Authorship, Coauthorship, Environmental, Impact, Indicators, Journals, Low, Patterns, Publication, Publication Lag, Publications, Researchers, Scientific Collaboration, Self-Citation
? Quental, N. and Lourenco, J.M. (2012), References, authors, journals and scientific disciplines underlying the sustainable development literature: A citation analysis. Scientometrics, 90 (2), 361-381.
Full Text: 2012\Scientometrics90, 361.pdf
Abstract: This paper identifies the main references, authors and journals influencing the sustainable development literature. The task is accomplished by means of a citation analysis based on the records of ISI Web of Science. We found that the core of sustainability thinking is framed by a pattern of landmark studies published around every 5 years. Only 380 publications have been cited at least ten times. References with the highest influence are those with a global dimension and large diffusion, such as Brundtland Commission’s “Our common future” (1987) and classics such as Meadows’ et al. “Limits to growth” (1972). The list of the most influential references over the period 1960-2005 is dominated by contributions from economics (particularly ecological economics) and environmental science, but includes many other disciplines such as urban planning, political sciences and sociology. References are also made to policy documents such as “Agenda 21”, one of the main outcomes of the Rio Summit in 1992. In analyzing citation trends, we found that classics, because of their high rates of citations per year, seem to have a more enduring and stable influence.
Keywords: Analysis, Authors, Bibliometric Assessment, Citation, Citation Analysis, Citation Trends, Citations, Classics, Development, Diffusion, Ecological Economics, Ecological Economics, Economics, Environmental, Environmental Science, Impact, ISI, ISI Web of Science, Journals, Literature, Outcomes, Policy, Publications, References, Science, Sciences, Sociology, Sustainability Science, Sustainable Development, Trends, Urban, Web of Science, Web-of-Science
? Prozesky, H. and Boshoff, N. (2012), Bibliometrics as a tool for measuring gender-specific research performance: An example from South African invasion ecology. Scientometrics, 90 (2), 383-406.
Full Text: 2012\Scientometrics90, 383.pdf
Abstract: Citations to published work are gaining increasing prominence in evaluations of the research performance of scientists. Considering the importance accorded to gender issues in South African science, it is surprising that (to our knowledge) no research has as yet ascertained the extent of sex differences in citations to the published work of scientists in this country. Our literature study shows that studies that have been conducted elsewhere tend to neglect in their analyses important gender-related and other factors, such as the sex composition of multi-authored papers and the extent of foreign co-authorship. Against this background, we illustrate the difficulties inherent in measuring the quality aspect of sex-specific research performance by means of an analysis of a dataset of articles (n = 229) that were published between 1990 and 2002 in the field of invasion ecology and in journals included in the Thomson Reuters Web of Science. Each article has at least one South African author address. The results indicate that foreign co-authorship is a better correlate of high citations than the sex of South African authors, and this is true irrespective of whether the annual citation rate or window period is used, whether or not self-citations are excluded, and whether or not the number of authors is controlled for by calculating fractional counts. The paper highlights these and other considerations that are relevant for future gender-focused bibliometric research, both in South Africa and beyond.
Keywords: Africa, American Astronomers, Analysis, Articles, Author, Authors, Bibliometric, Bibliometric Research, Bibliometrics, Citation, Citations, Co-Authorship, Coauthorship, Differences, Gender, h-Index, Impact, Invasion Ecology, Journals, Knowledge, Literature, Neglect, Papers, Psychology, Publication, Quality, Research, Research Performance, Science, Scientific Productivity, Sex, South Africa, Thomson Reuters, Thomson-Reuters, Web of Science, Web-of-Science, Women
? Carley, S. and Porter, A.L. (2012), A forward diversity index. Scientometrics, 90 (2), 407-427.
Full Text: 2012\Scientometrics90, 407.pdf
Abstract: We introduce an indicator to measure the diffusion of scientific research. Consistent with Stirling’s 3-factor diversity model, the diffusion score captures not only variety and balance, but also disparity among citing article cohorts. We apply it to benchmark article samples from six 1995 Web of Science subject categories (SCs) to trace trends in knowledge diffusion over time since publication. Findings indicate that, for most SCs, diffusion scores steadily increase with time. Mathematics is an outlier. We employ a typology of citation trends among benchmark SCs and correlate this with diffusion scores. We also find that self-cites do not, in most cases, significantly influence diffusion scores.
Keywords: Balance, Citation, Citation Patterns, Citation Trends, Collaborative Networks, Determinants, Diffusion, Diffusion Score, Disparity, Integration Score, Interdisciplinary, Knowledge, Knowledge Diffusion, Knowledge Diffusion, Map, Mathematics, Model, Patent Citations, Publication, Research, Science, Scientific Research, Self-Citations, Subject Category Behavior, Technology, Trends, Web of Science, Web-of-Science
? Oliveira, E.A., Colosimo, E.A., Martelli, D.R., Quirino, I.G., Oliveira, M.C.L., Lima, L.S., Silva, A.C.S.E. and Martelli, H. (2012), Comparison of Brazilian researchers in clinical medicine: are criteria for ranking well-adjusted? Scientometrics, 90 (2), 429-443.
Full Text: 2012\Scientometrics90, 429.pdf
Abstract: Quantifying the relative performance of individual scholars has become an integral part of decision-making in research policy. The objective of the present study was to evaluate if the scholarship rank of Brazilian Council for Scientific and Technological Development (CNPq) researchers in Medicine is consistent with their scientific productivity. The Lattes curricula of 411 researchers (2006-2008) were included in the study. Scholarship category was the variable of interest. Other variables analyzed were: time since receiving the doctorate, teaching activity (undergraduate, master’s and doctoral students), number of articles published, and number of papers indexed by the Institute for Scientific Information (ISI) and Scopus databases. Additional performance indicators included were: citations, h-index, and m-index. There was a significant difference among scholarship categories regarding number of papers per year, considering the entire scientific career (P < 0.001) or the last 5 years (P < 0.001). There was no significant difference among scholarship categories regarding the number of citations per article in the ISI (Thomson Reuters) database (P = 0.23). There was a significant difference in h-index among scholarship categories in both databases, i.e. (P < 0.001) and Scopus (P < 0.001). Regarding the m-index, there was a significant difference among categories only in the ISI database (P = 0.012). According to our findings, a better instrument for qualitative and quantitative indicators is needed to identify researchers with outstanding scientific output.
Keywords: Articles, Bibliometric Indicators, Citations, Clinical Medicine, Databases, Decision Making, Decision-Making, Evaluation Purposes, Fields, h Index, h-Index, Health Postgraduate Programs, Health Sciences, Hirsch-Index, Indicators, Interest, ISI, ISI Database, Medicine, Papers, Performance Indicators, Policy, Productivity, Qualitative, Quantitative, Ranking, Research, Research Output, Researchers, Scholarship, Science, Scientific Information, Scientific Output, Scientific Productivity, Scientific Publication Indicators, Scientists, Scopus, Students, Teaching, Thomson Reuters, Thomson-Reuters, Undergraduate
? Yoon, J. and Kim, K. (2012), Detecting signals of new technological opportunities using semantic patent analysis and outlier detection. Scientometrics, 90 (2), 445-461.
Full Text: 2012\Scientometrics90, 445.pdf
Abstract: In the competitive business environment, early identification of technological opportunities is crucial for technology strategy formulation and research and development planning. There exist previous studies that identify technological directions or areas from a broad view for technological opportunities, while few studies have researched a way to detect distinctive patents that can act as new technological opportunities at the individual patent level. This paper proposes a method of detecting new technological opportunities by using subject-action-object (SAO)-based semantic patent analysis and outlier detection. SAO structures are syntactically ordered sentences that can be automatically extracted by natural language processing of patent text; they explicitly show the structural relationships among technological components in a patent, and thus encode key findings of inventions and the expertise of inventors. Therefore, the proposed method allows quantification of structural dissimilarities among patents. We use outlier detection to identify unusual or distinctive patents in a given technology area; some of these outlier patents may represent new technological opportunities. The proposed method is illustrated using patents related to organic photovoltaic cells. We expect that this method can be incorporated into the research and development process for early identification of technological opportunities.
Keywords: Analysis, Anomaly Detection, Development, Environment, Multidimensional Scaling (MDS), Natural, Outlier Detection, Patent, Patent Analysis, Patent Mining, Process, Research, Research and Development, Research and Development (R&D) Planning, Research-And-Development, Sao, Semantic Patent Similarity, Strategy, Subject-Action-Object (SAO) Structure, Technological Opportunity, Technology, Tool
? Lariviere, V. (2012), On the shoulders of students? The contribution of PhD students to the advancement of knowledge. Scientometrics, 90 (2), 463-481.
Full Text: 2012\Scientometrics90, 463.pdf
Abstract: Using the participation in peer reviewed publications of all doctoral students in Quebec over the 2000-2007 period, this paper provides the first large scale analysis of their research effort. It shows that PhD students contribute to about a third of the publication output of the province, with doctoral students in the natural and medical sciences being present in a higher proportion of papers published than their colleagues of the social sciences and humanities. Collaboration is an important component of this socialization: disciplines in which student collaboration is higher are also those in which doctoral students are the most involved in peer-reviewed publications. In terms of scientific impact, papers co-signed by doctorate students obtain significantly lower citation rates than other Quebec papers, except in natural sciences and engineering. Finally, this paper shows that involving doctoral students in publications is positively linked with degree completion and ulterior career in research.
Keywords: Analysis, Bibliometrics, Canada, Citation, Citations, Collaboration, Contribution, Doctorate, Gender, Humanities, Impact, Indicators, Information, Knowledge, Medical, Natural, Natural-Sciences, Papers, Participation, Peer-Reviewed Publications, Postgraduate Education, Publication, Publication Output, Publications, Quebec, Research, Sciences, Scientific Impact, Scientists, Social, Social Sciences, Social-Sciences, Students
? Wang, D.B., Zhu, D.H. and Su, X.N. (2012), Lotka phenomenon in the words’ syntactic distribution complexity. Scientometrics, 90 (2), 483-498.
Full Text: 2012\Scientometrics90, 483.pdf
Abstract: To better understand the distribution of words in all kinds of syntactic structures, the paper calculates the word distribution in syntactic structures of both English and Chinese. On the basis of the calculation, the article presents the definition of the words’ syntactic distribution complexity. After arranging the Chinese and English words according to their own syntactic distribution complexity, respectively, the Lotka phenomenon can be clearly attested by the results. The discovery made in the paper reveals the law of the words’ syntactic distribution in linguistic studies on one hand and the statistically proven fact that Chinese words’ syntax is much more complex than that of the English after comparing the Lotka phenomenon of both Chinese and English words’ syntactic distribution complexity on the other hand.
Keywords: English, Hand, Law, Lotka Phenomenon, Treebank, Words’ Syntactic Distribution Complexity
? Yan, E.J., Ding, Y. and Jacob, E.K. (2012), Overlaying communities and topics: An analysis on publication networks. Scientometrics, 90 (2), 499-513.
Full Text: 2012\Scientometrics90, 499.pdf
Abstract: Two layers of enriched information are constructed for communities: a paper-to-paper network based on shared author relations and a paper-to-paper network based on shared word relations. k-means and VOSviewer, a modularity-based clustering technique, are used to identify publication clusters in the two networks. Results show that a few research topics such as webometrics, bibliometric laws, and language processing, form their own research community; while other research topics contain different research communities, which may be caused by physical distance.
Keywords: Analysis, Author, Author Cocitation Analysis, Bibliometric, Clustering, Community, Detection, Information, Information-Science, Library, Network, Publication, Research, Research Topics, Scholarly Networks, Topic, Topics, Vosviewer, Webometrics
? Park, H., Yoon, J. and Kim, K. (2012), Identifying patent infringement using SAO based semantic technological similarities. Scientometrics, 90 (2), 515-529.
Full Text: 2012\Scientometrics90, 515.pdf
Abstract: Companies should investigate possible patent infringement and cope with potential risks because patent litigation may have a tremendous financial impact. An important factor to identify the possibility of patent infringement is the technological similarity among patents, so this paper considered technological similarity as a criterion for judging the possibility of infringement. Technological similarities can be measured by transforming patent documents into abstracted forms which contain specific technological key-findings and structural relationships among technological components in the invention. Although keyword-based technological similarity has been widely adopted for patent analysis related research, it is inadequate for identifying patent infringement because a keyword vector cannot reflect specific technological key-findings and structural relationships among technological components. As a remedy, this paper exploited a subject-action-object (SAO) based semantic technological similarity. An SAO structure explicitly describes the structural relationships among technological components in the patent, and the set of SAO structures is considered to be a detailed picture of the inventor’s expertise, which is the specific key-findings in the patent. Therefore, an SAO based semantic technological similarity can identify patent infringement. Semantic similarity between SAO structures is automatically measured using SAO based semantic similarity measurement method using WordNet, and the technological relationships among patents were mapped onto a 2-dimensional space using multidimensional scaling (MDS). Furthermore, a clustering algorithm is used to automatically suggest possible patent infringement cases, allowing large sets of patents to be handled with minimal effort by human experts. The proposed method will be verified by detecting real patent infringement in prostate cancer treatment technology, and we expect this method to relieve human experts’ work in identifying patent infringement.
Keywords: Analysis, As, Cancer, Clustering, Human, Impact, Litigation, Measurement, Multidimensional Scaling, Natural Language Processing, NLP, Patent, Patent Analysis, Patent Litigation, Patent Mining, Patent Risk, Prostate Cancer, Research, Research-and-Development, SAO, Subject-Action-Object, Technology, Treatment, Vector, Visualization
? Li, F., Yi, Y., Guo, X.L. and Qi, W. (2012), Performance evaluation of research universities in Mainland China, Hong Kong and Taiwan: Based on a two-dimensional approach. Scientometrics, 90 (2), 531-542.
Full Text: 2012\Scientometrics90, 531.pdf
Abstract: For a long time, rankings overused in evaluating Chinese universities’ research performance. The relationship between research production and research quality hasn’t been taken seriously in ranking systems. Most university rankings in China put more weight on research production rather than research quality. Recently, the developmental strategy of Chinese universities has shifted from ‘quantity’ to ‘quality’. As a result, a two-dimensional approach was developed in this article to balance ‘quantity’ and ‘quality’. The research production index and the research quality index were produced to locate research universities (RU) from Mainland China, Hong Kong (HK) and Taiwan (TW) in the two-dimensional graph. Fifty-nine RU were classified into three categories according to their locations, which indicated the relevant level of research performance. University of Hong Kong, National Taiwan University, Tsing Hua University and Peking University appeared to be leading universities in research performance. The result showed that the mainland universities were generally of higher research production and lower research quality than HK and TW universities, and proved that the merging tides of Chinese universities enlarged their research production while causing a low level of research quality as well.
Keywords: A Two-Dimensional Approach, As, Balance, China, Chinese Universities, Citation, Evaluation, Hong Kong, Impact, Index, Journals, Low, Output, Performance, Performance Evaluation, Quality, Quantity, Ranking, Rankings, Research, Research Performance, Research Production, Science, Strategy, System, Taiwan, Universities, University
? Chen, C.F., Yu, Y., Tang, Q., Chiu, K., Rao, Y., Huang, X. and Sun, K. (2012), Assessing the authority of free online scholarly information. Scientometrics, 90 (2), 543-560.
Full Text: 2012\Scientometrics90, 543.pdf
Abstract: Authority generally relates to expertise, recognition of official status of a source, and the reputation of the author and publisher. As the Internet has become a ubiquitous tool in modern science and scholarly research, evaluating the authority of free online scholarly information is becoming crucial. However, few empirical studies have focused on this issue. Using a modified version of Jim Kapoun’s “Five criteria for evaluating web pages” as framework, this research selected 32 keywords from eight disciplines, inputted them into three search engines (Google, Yahoo and AltaVista) and used Analytic Hierarchy Process to determine the weights. The first batches of results (web pages) from keyword searching were selected as evaluation samples (in the two search phases, the first 50 and 10 results were chosen, respectively), and a total of 3,134 samples were evaluated for authority based on the evaluation framework. The results show that the average authority value for free online scholarly information is about 3.63 (out of five), which is in the “fair” level (3 a parts per thousand currency sign Z < 4) (Z is the value assigned to each sample). About 41% of all samples collected provide more authoritative scholarly information. Different domain names, resource types, and disciplines of free online scholarly information perform differently when scored in terms of authority. In conclusion, the authority of free online scholarly information has been unsatisfactory, and needs to be improved. Furthermore, the evaluation framework and its application developed herein could be a useful instrument for librarians, researchers, students, and the public to select Internet resources.
Keywords: As, Assessment, Author, Authority, Cognitive Authority, Credibility, Criteria, Evaluation, Evaluation Tools, Free Online Scholarly Information, Health Information, Information, Internet, Modified, Quality, Recognition, Research, Researchers, Resources, Science, Students, Web Sites, World
? Zhao, Q.J. and Guan, J.C. (2012), Modeling the dynamic relation between science and technology in nanotechnology. Scientometrics, 90 (2), 561-579.
Full Text: 2012\Scientometrics90, 561.pdf
Abstract: Nanotechnology is a promising research domain with potential and enormous economic value. It is widely acknowledged that nanotechnology, as an emerging and rapidly evolving field with the multidisciplinary nature, is perceived as proximate fields of science and technology. This study provides a further description of the relationship between science and technology at macro-level. The core objective in this paper is to qualify and assess the dynamic associations between scientific activity and technological output. We attempt to illustrate how science and technology relate one another in the case of innovation system. In this paper, we take advantage of the simultaneous equations model to analyze the reciprocal dependence between science and technology. Previous studies about the relationship between science and technology infrequently adopt this model. Our result shows that there is no significant connection between R&D expenditures and actual practices of research in terms of publications and patents for the universities in zone 1 and 2. Our results provoke questions about whether policy-makers should appropriately reallocate scientific and technological resources and other R&D expenditures so as to obtain optimal allocation for resource and achieve maximum results with little effort for scientific research and innovation performance.
Keywords: China, Dynamic Relation, Fields of Science, Growth, Indicators, Industry, Innovation, Innovation System, Knowledge, Model, Modeling, Nanoscience, Nanotechnology, Patents, Performance, Publications, R&D, Research, Science, Science And Technology, Scientific Research, Search, Simultaneous Equations Model, Technology, Universities
? Baron, J. and Delcamp, H. (2012), The private and social value of patents in discrete and cumulative innovation. Scientometrics, 90 (2), 581-606.
Full Text: 2012\Scientometrics90, 581.pdf
Abstract: This article analyzes the relationship between private and social value of patents, comparing discrete and cumulative innovation. Indicators of the social value of patents are known to be less correlated with measures of private value in technological fields where innovation is more cumulative. We test whether this is because the link between private and social value is weaker, or because the indicators are less informative of the underlying concepts of value. Furthermore we analyze whether these differences between technological fields are really due to cumulativeness. We observe cumulative innovation by making use of databases of patents declared essential for technological standards. Using factor analysis and a set of patent quality indicators, we test the relevance of social value for predicting the private value of a patent measured by renewal and litigation. Whereas we establish a robust and significant link for discrete technologies; neither common factors nor any indicator of social value allows predicting the private value of essential, very cumulative patents. Nevertheless, this result cannot be generalized to whole technological classes identified as “complex” by the literature.
Keywords: Analysis, Citations, Complex Technologies, Cumulative Innovation, Databases, Differences, Factor Analysis, Factor-Analysis, Indicators, Indicators, Innovation, Literature, Patent, Patent Quality, Patent Value, Quality, Quality Indicators, Renewal, Social, Standardization, Standards
? Liu, X.Z. and Fang, H. (2012), Peer review and over-competitive research funding fostering mainstream opinion to monopoly. Part II. Scientometrics, 90 (2), 607-616.
Full Text: 2012\Scientometrics90, 607.pdf
Abstract: In our previous work (Scientometrics 87:293-301, 2011), a numerical model of over-competitive research funding in “peer-group-assessed-grant-based-funding-system” was proposed and the process was firstly investigated quantitatively. The simulation results show that the mainstream of a very complicated research topic could obtain monopoly supremacy with only the aid of the mechanism the model described. Here, the numbers of publications of cosmology back to 1950 are utilized to empirically test this positive feedback mechanism. The development of three main theories of cosmology, Big Bang, Steady State and Plasma Universe, are revisited. The later two, which are non-mainstream opinions, both state in their peer reviewed papers, that their theories fit the phenomena that support the standard theory. The ratios of publications of the orthodox theory, Big Bang, approximately satisfy the numeric calculating results of our model. The reason for the discrepancy between the model and actual situation is discussed. A further question about the controversy is presented.
Keywords: Cosmology, Cosmology, Creation, Curvature, Development, Evolution, Excessive Competition, Feedback, Funding, Innovation, Mainstream, Mechanism, Model, Papers, Peer Review, Peer-Review, Plasma Universe, Process, Publications, Relativity, Research, Research Funding, Review, Science, Scientometrics, Simulation, Space, Theories, Theory, World
? Eckmann, M., Rocha, A. and Wainer, J. (2012), Relationship between high-quality journals and conferences in computer vision. Scientometrics, 90 (2), 617-630.
Full Text: 2012\Scientometrics90, 617.pdf
Abstract: In computer science, as opposed to many other disciplines, papers published in conference and workshop proceedings count as formal publications when evaluating the scholarship of an academic. We consider the relationship between high quality journals and conferences in the computer vision (CV) subfield of computer science. We determined that 30% of papers in the top-3 CV journals base their work on top-3 conference papers by the same authors (which we call priors (See “Methods” section for the definition of a prior)). Journal papers with priors are significantly more cited than journal papers without priors. Also the priors themselves are cited more than other papers from the conferences. For a period of 3-5 years after the journal paper publication, the priors receive more citations than the follow-up journal paper. After that period, the journal paper starts receiving most of the citations. Furthermore, we found that having the prior conference paper did not make it any easier (faster) to publish in a journal. We also surveyed journal authors and based on their answers and the priors analysis, we discovered that authors seem to be divided into different groups depending on their preferred method of publication.
Keywords: Analysis, Author Survey, Authors, Bibliometrics, Citations, Computer, Computer Science, Computer Vision, Conference Proceedings, Follow-up, Journal, Journal Papers, Journals, Papers, Publication, Publications, Publishing, Quality, Scholarship, Science
? Kronegger, L., Mali, F., Ferligoj, A. and Doreian, P. (2012), Collaboration structures in Slovenian scientific communities. Scientometrics, 90 (2), 631-647.
Full Text: 2012\Scientometrics90, 631.pdf
Abstract: We combine two seemingly distinct perspectives regarding the modeling of network dynamics. One perspective is found in the work of physicists and mathematicians who formally introduced the small world model and the mechanism of preferential attachment. The other perspective is sociological and focuses on the process of cumulative advantage and considers the agency of individual actors in a network. We test hypotheses, based on work drawn from these perspectives, regarding the structure and dynamics of scientific collaboration networks. The data we use are for four scientific disciplines in the Slovene system of science. The results deal with the overall topology of these networks and specific processes that generate them. The two perspectives can be joined to mutual benefit. Within this combined approach, the presence of small-world structures was confirmed. However preferential attachment is far more complex than advocates of a single autonomous mechanism claim.
Keywords: Bibliometry, Co-Authorship Network, Collaboration, Cumulative Advantage, Impact, Longitudinal Network Analysis, Mechanism, Model, Modeling, Network, Networks, Preferential Attachment, Process, Processes, Science, Scientific Collaboration, Small World, Stochastic Actor Based Model
? Ma, T.C., Wang, G.F., Dong, K. and Cao, M.K. (2012), The Journal’s Integrated Impact Index: A new indicator for journal evaluation. Scientometrics, 90 (2), 649-658.
Full Text: 2012\Scientometrics90, 649.pdf
Abstract: Journal impact factor (JIF) has been used for journal evaluation over a long time, but also accompanied by the continuing controversy. In this study, a new indicator, the Journal’s Integrated Impact Index (JIII) has been proposed for journal evaluation. In the JIII, one journal’s average citations per paper, total citations, and all journals’ average level of average citations per paper and total citations have been used to characterize the integrated impact of journals. Some contrastive analyses were carried out between JIII and JIF. The results show some interesting properties of the new indicator, and also reveal some relevant relationships among JIII, JIF, and other bibliometric indicators.
Keywords: Bibliometric, Bibliometric Indicators, Bibliometrics, Citation, Citations, Evaluation, Impact, Impact Factor, Indicators, Journal, Journal Impact, Journal Impact Factor, Journal’s Integrated Impact Index, Journals
? Yang, Y., Wu, M.Z. and Cui, L. (2012), Integration of three visualization methods based on co-word analysis. Scientometrics, 90 (2), 659-673.
Full Text: 2012\Scientometrics90, 659.pdf
Abstract: Visualization of subject structure based on co-word analysis is used to explore the concept network and developmental tendency in certain field. There are many visualization methods for co-word analysis. However, integration of results by different methods is rarely reported. This article addresses the knowledge gap in this field of study. We compare three visualization methods: Cluster tree, strategy diagram and social network maps, and integrate different results together to one result through co-word analysis of medical informatics. The three visualization methods have their own character: cluster trees show the subject structure, strategic diagrams reveal the importance of topic themes in the structure, and social network maps interpret the internal relationship among themes. Integration of different visualization results to one more readable map complements each other. And it is helpful for researchers to get the concept network and developmental tendency in a certain field.
Keywords: Analysis, Character, Cluster Tree, Co-Word Visualization, Integration, Knowledge, Medical, Medical Informatics, Network, Patterns, Researchers, Retrieval, Social, Social Network, Social Network Map, Strategic Diagram, Strategy, Visualization
? Colliander, C. and Ahlgren, P. (2012), Experimental comparison of first and second-order similarities in a scientometric context. Scientometrics, 90 (2), 675-685.
Full Text: 2012\Scientometrics90, 675.pdf
Abstract: The measurement of similarity between objects plays a role in several scientific areas. In this article, we deal with document-document similarity in a scientometric context. We compare experimentally, using a large dataset, first-order with second-order similarities with respect to the overall quality of partitions of the dataset, where the partitions are obtained on the basis of optimizing weighted modularity. The quality of a partition is defined in terms of textual coherence. The results show that the second-order approach consistently outperforms the first-order approach. Each difference between the two approaches in overall partition quality values is significant at the 0.01 level.
Keywords: Bibliographic Coupling, Cluster Analysis, Cocitation Analysis, Document-Document Similarity, First Order, Jaccard Index, Measurement, Pearsons Correlation-Coefficient, Proximity-Measures, Quality, Requirements, Resemblance, Retrieval, Saltons Cosine, Science, Science Mapping, Second-Order, Similarity Order, Statistics, Textual Coherence
? Uddin, S., Hossain, L., Abbasi, A. and Rasmussen, K. (2012), Trend and efficiency analysis of co-authorship network. Scientometrics, 90 (2), 687-699.
Full Text: 2012\Scientometrics90, 687.pdf
Abstract: Although co-authorship in scientific research has a long history the analysis of co-authorship network to explore scientific collaboration among authors is a relatively new research area. Studies of current literature about co-authorship networks mostly give emphasis to understand patterns of scientific collaborations, to capture collaborative statistics, and to propose valid and reliable measures for identifying prominent author(s). However, there is no such study in the literature which conducts a longitudinal analysis of co-authorship networks. Using a dataset that spans over 20 years, this paper attempts to explore efficiency and trend of co-authorship networks. Two scientists are considered connected if they have co-authored a paper, and these types of connections between two scientists eventually constitute co-authorship networks. Co-authorship networks evolve among researchers over time in specific research domains as well as in interdisciplinary research areas. Scientists from diverse research areas and different geographical locations may participate in one specific co-authorship network whereas an individual scientist may belong to different co-authorship networks. In this paper, we study a longitudinal co-authorship network of a specific scientific research area. By applying approaches to analyze longitudinal network data, in addition to known methods and measures of current co-authorship literature, we explore a co-authorship network of a relatively young and emerging research discipline to understand its trend of evolution pattern and proximity of efficiency.
Keywords: Analysis, Authors, Co-Authorship, Co-Authorship Network, Co-Authorship Networks, Coauthorship, Coauthorship Networks, Collaboration, Collaborations, Efficiency, Efficiency Analysis, Evolution, History, Impact, Inter-Country Collaboration, International Scientific Collaboration, Literature, Network, Patterns, Research, Researchers, Scientific Collaboration, Scientific Research, Scientists, Statistics, Trend, Trend Analysis
? Docampo, D. (2012), Adjusted sum of institutional scores as an indicator of the presence of university systems in the ARWU ranking. Scientometrics, 90 (2), 701-713.
Full Text: 2012\Scientometrics90, 701.pdf
Abstract: In this article I introduce a new indicator that measures the presence of a higher education system in the Shanghai Jiao Tong Academic Ranking of World Universities (ARWU). First, the benefits of introducing such a measure and the drawbacks associated with the possible choices of the indicator are discussed. To analyze the drawbacks, the sample of countries with presence in ARWU is split into two groups of small and large world’s GDP share. A raw indicator based upon the sum of the scores of all the universities from a country divided by its world’s GDP share shows a noticeable bias in favor of small countries, so a one-way between-groups analysis of variance is conducted to help in canceling the bias. That leads to the introduction of a new aggregate indicator that can be computed in a very simple fashion. A discussion of the performance of higher education systems using this new indicator closes the paper.
Keywords: Analysis, ARWU, Bias, Countries, Education, GDP, Gross Domestic Product, Higher Education, Indicator, Ranking, Shanghai, Universities, University, University System
? Jaric, I. and Gessner, J. (2012), Analysis of publications on sturgeon research between 1996 and 2010. Scientometrics, 90 (2), 715-735.
Full Text: 2012\Scientometrics90, 715.pdf
Abstract: Sturgeon species are among the commercially most valuable and the most endangered groups of fish. To assess the existing literature published within the field of sturgeon research over the past 15 years (1996-2010) we applied a bibliometric approach, in order to identify patterns and trends of the published research in this field. The analysis was performed based upon articles obtained from the ISI Web of Knowledge online database. The results revealed that although all 27 sturgeon species have been objects of the research, species that are endangered or facing a high probability of extinction have received disproportionately less attention. White sturgeon (Acipenser transmontanus) was the most frequently studied species, but it was recently surpassed by Persian sturgeon (A. persicus). Early life phases have been among the central objects of the research, and genetics, especially the use of microsatellite DNA, is becoming increasingly popular and had the highest impact. Research related to aquaculture was prominent, while the research related to hybrids (as a commodity of aquaculture production) was decreasing in popularity. Papers dealing with conservation issues were most frequently focused on European sturgeon (A. sturio). A steady increase in the number of published articles over time was observed. However, the overall citation rate declined significantly over time. During the period reviewed, the sturgeon research published in peer reviewed journals dominantly originated from the USA and EU. Nevertheless, considering the current trend in output, it is very likely that the Asian countries, mainly Iran and China, will surpass them within the next 5-10 years. International and inter-institutional collaboration both tended to increase the impact of the research. Stimulation and improvement of the international cooperation should be considered as future priorities.
Keywords: Acipenser, Analysis, Articles, Attention, Bibliometric, Bibliometry, China, Citation, Citation Analysis, Collaboration, Conservation, Cooperation, Countries, DNA, Ecological Economics, EU, Fish, Genetics, Huso, Impact, Index, International, Iran, ISI, Journals, Knowledge, Literature, Priorities, Pseudoscaphirhynchus, Publications, Published Research, Research, Scaphirhynchus, Science, Scientific-Research, Trend, Trends, USA, Web of Knowledge
? Prathap, G. (2012), A comment to the papers by Opthof and Leydesdorff, Scientometrics, 88, 1011-1016, 2011 and Waltman et al., Scientometrics, 88, 1017-1022, 2011. Scientometrics, 90 (2), 737-743.
Full Text: 2012\Scientometrics90, 737.pdf
Abstract: In this comment, we re-evaluate an example using a “thermodynamic” paradigm to show how bibliometrics can incorporate normalization into the evaluative process. The motivation for this is the recent exchange in the pages of this journal from two groups that have taken different positions on how normalization should be done.
Keywords: Bibliometric Indicators, Bibliometrics, Energy, Exergy, h-Index, Index, Indicators, Journal, Motivation, Normalization, Output, P-Index, Papers, Performance, Process, Quality, Quantity, Quasity, Scientometrics
? Leydesdorff, L. and Opthof, T. (2012), A rejoinder on energy versus impact indicators. Scientometrics, 90 (2), 745-748.
Full Text: 2012\Scientometrics90, 745.pdf
Abstract: Citation distributions are so skewed that using the mean or any other central tendency measure is ill-advised. Unlike G. Prathap’s scalar measures (Energy, Exergy, and Entropy or EEE), the Integrated Impact Indicator (I3) is based on non-parametric statistics using the (100) percentiles of the distribution. Observed values can be tested against expected ones; impact can be qualified at the article level and then aggregated.
Keywords: Charts, Citation, Citation Analysis, Citation Distributions, EEE, Energy, Entropy, Exergy, I3, Impact, Indicator, Indicators, Integration, Journals, Non-Parametric Statistics, Nonparametric, Paper, Quality, Relative Indicators, Scalar, Science, Scientometrics, Statistics, Terms
? Chuang, K.Y. and Ho, Y.S. (2012), Comments on “a bibliometric study of the trend in articles related to eutrophication published in Science Citation Index”. Scientometrics, ?? (??), ??-??.
Full Text: Scientometrics-Chuang-2.pdf; Scientometrics-Chuang-1.pdf; 2012\Scientometrics-Chuang.pdf
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