Personal Research Database

Full Text: 2010\Scientometrics83, 739.pdf

Abstract: We consider the “Matthew effect” in the citation process which leads to reallocation (or misallocation) of the citations received by scientific papers within the same journals. The case when such reallocation correlates with a country where an author works is investigated. Russian papers in chemistry and physics published abroad were examined. We found that in both disciplines in about 60% of journals Russian papers are cited less than average ones. However, if we consider each discipline as a whole, citedness of a Russian paper in physics will be on the average level, while chemistry publications receive about 16% citations less than one may expect from the citedness of the journals where they appear. Moreover, Russian chemistry papers mostly become undercited in the leading journals of the field. Characteristics of a “Matthew index” indicator and its significance for scientometric studies are also discussed.

Keywords: Chemistry, Citation, Citations, Citedness, Competition, Core Journals, Correlates, Countries, Impact, Indicators, International Comparison, Journals, Matthew Index, Physics, Publications, Science

? Bruer, J.T. (2010), Can we talk? How the cognitive neuroscience of attention emerged from neurobiology and psychology, 1980-2005. Scientometrics, 83 (3), 751-764.

Full Text: 2010\Scientometrics83, 751.pdf

Abstract: This study uses author co-citation analysis to trace prospectively the development of the cognitive neuroscience of attention between 1980 and 2005 from its precursor disciplines: cognitive psychology, single cell neurophysiology, neuropsychology, and evoked potential research. The author set consists of 28 authors highly active in attentional research in the mid-1980s. PFNETS are used to present the co-citation networks. Authors are clustered via the single-link clustering intrinsic to the PFNET algorithm. By 1990 a distinct cognitive neuroscience specialty cluster emerges, dominated by authors engaged in brain imaging research.

Keywords: Attention, Author Co-Citation Analysis, Author Cocitation Analysis, Authors, Brain, Brain Imaging, Cluster, Clustering, Co-Citation, Co-Citation Analysis, Cocitation Analysis, Cognitive Neuroscience, Development, Knowledge Domains, Networks, Neuropsychology, Neuroscience, PFNET, Research

? Schiebel, E., Horlesberger, M., Roche, I., Francois, C. and Besagni, D. (2010), An advanced diffusion model to identify emergent research issues: The case of optoelectronic devices. Scientometrics, 83 (3), 765-781.

Full Text: 2010\Scientometrics83, 765.pdf

Abstract: Scientific progress in technology oriented research fields is made by incremental or fundamental inventions concerning natural science effects, materials, methods, tools and applications. Therefore our approach focuses on research activities of such technological elements on the basis of keywords in published articles. In this paper we show how emerging topics in the field of optoelectronic devices based on scientific literature data from the PASCAL-database can be identified. We use Results from PROMTECH project, whose principal objective was to produce a methodology allowing the identification of promising emerging technologies. In this project, the study of the intersection of Applied Sciences as well as Life (Biological & Medical) Sciences domains and Physics with bibliometric methods produced 45 candidate technological fields and the validation by expert panels led to a final selection of 10 most promising ones. These 45 technologies were used as reference fields. In order to detect the emerging research, we combine two methodological approaches. The first one introduces a new modelling of field terminology evolution based on bibliometric indicators: the diffusion model and the second one is a diachronic cluster analysis. With the diffusion model we identified single keywords that represent a high dynamic of the mentioned technology elements. The cluster analysis was used to recombine articles, where the identified keywords were used to technological topics in the field of optoelectronic devices. This methodology allows us to answer the following questions: Which technological aspects within our considered field can be detected? Which of them are already established and which of them are new? How are the topics linked to each other?

Keywords: Applications, Articles, Bibliometric, Bibliometric Indicators, Cluster, Cluster Analysis, Diachronic Cluster Analysis, Diffusion, Diffusion Model, Diffusion Stages, Emerging Research Issues, Emerging Technologies, Emerging Technologies, Evolution, Evolution of a Technological Field, Identification, Indicators, Literature, Methodology, Methods, Migration of Terms, Model, Modelling, Optoelectronic Devices, Physics, Research, Research Issues, Science, Science Dynamics, Scientific Literature, Selection, Technology, Tools, Topics, Tracking, Validation

? Takeda, Y. and Kajikawa, Y. (2010), Tracking modularity in citation networks. Scientometrics, 83 (3), 783-792.

Full Text: 2010\Scientometrics83, 783.pdf

Abstract: Citation network analysis is an effective tool to analyze the structure of scientific research. Clustering is often used to visualize scientific domain and to detect emerging research front there. While we often set arbitrarily clustering threshold, there is few guide to set appropriate threshold. This study analyzed basic process how clustering of citation network proceeds by tracking size and modularity change during clustering. We found that there are three stages in clustering of citation networks and it is universal across our case studies. In the first stage, core clusters in the domain are formed. In the second stage, peripheral clusters are formed, while core clusters continue to grow. In the third stage, core clusters grow again. We found the minimum corpus size around one hundred assuring the clustering. When the corpus size is less than one hundred, clustered network structure tends to be more random. In addition even for the corpus whose size is larger than it, the clustering quality for some clusters formed in the later stage is low. These results give a fundamental guidance to the user of citation network analysis.

Keywords: Bibliometrics, Case Studies, Change, Citation, Citation Network, Citation Network Analysis, Clustering, Clustering Quality, Core, Domain Visualization, Growth, Modularity, Network Analysis, Networks, Research, Research Front, Science, Scientific Research

? Tonta, Y. and Unal, Y. (2010), Does Urquhart’s Law hold for consortial use of electronic journals? Scientometrics, 83 (3), 793-808.

Full Text: 2010\Scientometrics83, 793.pdf

Abstract: This paper tests the validity of Urquhart’s Law (“the inter-library loan demand for a periodical is as a rule a measure of its total use”). It compares the use of print journals at the Turkish Academic Network and Information Center (ULAKBIM) with the consortial use of the same journals in their electronic form by the individual libraries making up the Consortium of Turkish University Libraries (ANKOS). It also compares the on-site use of electronic journals at ULAKBIM with their consortial use at ANKOS. About 700 thousand document delivery, in-house and on-site use data and close to 28 million consortial use data representing seven years’ worth of downloads of full-text journal articles were used. Findings validate Urquhart’s Law in that a positive correlation was observed between the use of print journals at ULAKBIM and the consortial use of their electronic copies at ANKOS. The on-site and consortial use of electronic journals was also highly correlated. Both print and electronic journals that were used most often at ULAKBIM tend to get used heavily by the member libraries of ANKOS consortium, too. Findings can be used in developing consortial collection management policies and negotiate better consortial licence agreements.

Keywords: Articles, Collections, Consortial Use, Correlation, Document Delivery, E-Journals, Electronic Journals, Formulation, Impact, Interlibrary Use, Intralibrary Use, Journal, Journals, Library, Log Analysis, Management, Periodical, Positive, Probability, Science, Serials, Supralibrary Use, University, Urquhart’s Law, Validity

? Bar-Ilan, J. (2010), Web of Science with the Conference Proceedings Citation Indexes: the case of computer science. Scientometrics, 83 (3), 809-824.

Full Text: 2010\Scientometrics83, 809.pdf

Abstract: In September 2008 Thomson Reuters added to the ISI Web of Science (WOS) the Conference Proceedings Citation Indexes for Science and for the Social Sciences and Humanities. This paper examines how this change affects the publication and citation counts of highly cited computer scientists. Computer science is a field where proceedings are a major publication venue. The results show that most of the highly cited publications of the sampled researchers are journal publications, but these highly cited items receive more than 40% of their citations from proceedings papers. The paper also discusses issues related to double-counting, i.e., when a given work is published both in a proceedings and later on as a journal paper.

Keywords: Change, Citation, Citation Counts, Citations, Computer, Computer Science, Conference Proceedings Citation Indexes, h-Index, Humanities, ISI, ISI Web, ISI Web Of Science, Journal, Publication, Publication Counts, Publications, Re-Publishing, Researchers, Scholarly Communication, Science, Thomson Reuters, Web of Science

? Hayashi, M.C.P.I., Rothberg, D. and Hayashi, C.R.M. (2010), Scientific knowledge and digital democracy in Brazil: how to assess public health policy debate with applied Scientometrics. Scientometrics, 83 (3), 825-833.

Full Text: 2010\Scientometrics83, 825.pdf

Abstract: We proposed an original research design based on applied Scientometrics and frame analysis to assess how a citation was made to sustain arguments in documents on public health policies subjected to online public consultation from 2003 to 2008 in Brazil. So we built on citation studies to create a new scale to estimate why a scientific work was mentioned in our sample of 278 citations. We found that government branches make citations mainly to value their arguments, not to explain them, and that contributors mainly make citations in such a way that could discourage others from engaging in digital democracy.

Keywords: Applied Scientometrics, Citation, Citation Studies, Citations, Deliberation, Digital Democracy, Health, Knowledge, Opinion, Public Health, Research, Scale, Scientometrics

? Small, H. (2010), Maps of science as interdisciplinary discourse: Co-citation contexts and the role of analogy. Scientometrics, 83 (3), 835-849.

Full Text: 2010\Scientometrics83, 835.pdf

Abstract: Interdisciplinarity can be manifest in many forms: through collaboration or communication between scientists working in different fields or through the work of individual scientists who employ concepts or methods across disciplines. This latter form of interdisciplinarity is addressed here with the goal of understanding how ideas in different fields come together to create new opportunities for discovery. Maps of science are used to suggest possible interdisciplinary links which are then analyzed by co-citation context analysis. Interdisciplinary links are identified by juxtaposing a clustering and mapping of documents against a journal-based categorization of the same document clusters. Links between clusters are characterized as interdisciplinary based on the dissonance of their category assignments. To verify and probe more deeply into the meaning of interdisciplinary links, co-citation contexts for selected links from five separate cases are analyzed in terms of prominent cue words. This analysis reveals that interdisciplinary connections are often based on authors’ perceptions of analogous problems across scientific domains. Cue words drawn from the citation contexts also suggest that these connections are viewed as important and ripe with both opportunity and risk.

Keywords: Analogy, Citation, Clustering, Clusters, Co-Citation, Co-Citation Contexts, Collaboration, Communication, Cue Word Analysis, Discourse, Discovery, Interdisciplinarity, Interdisciplinary, Interdisciplinary Links, Mapping, Maps of Science, Methods, Risk, Science, Simulation

? Holmberg, K. (2010), Co-inlinking to a municipal Web space: A webometric and content analysis. Scientometrics, 83 (3), 851-862.

Full Text: 2010\Scientometrics83, 851.pdf

Abstract: It is known that there are significant correlations between linking and geographical patterns. Although interlinking patterns have been studied in various contexts, co-inlinking patterns on the Web have only been studied as indicator of business competitive positions. This research studies the use of co-inlinks to local government Web sites, assesses whether co-inlinking follows geographic patterns and investigates reasons for creating the co-inlinks. Strong evidence was found that co-inlinking is more frequent to municipalities in the same functional region than to municipalities in different functional regions, indicating that this geographic aspect influences co-inlinking, even though geographic co-inlinking was not a strong trend overall. Because the functional regions are created based on cooperation between the municipalities, we have indirectly been able to map cooperation from co-inlinking patterns on the Web. The main reason to create co-inlinking links to municipalities was that the source of the links wanted to show a connection to its region.

Keywords: Co-Inlinking, Colinks, Content Analysis, Framework, Geography, Hyperlinks, Information, Link Analysis, Link Creation, Local, Local Government, Motivations, Research, Site Interlinking, Universities, Webometrics

? Borner, K., Huang, W.X., Linnemeier, M., Duhon, R.J., Phillips, P., Ma, N.L., Zoss, A.M., Guo, H.N. and Price, M.A. (2010), Rete-netzwerk-red: Analyzing and visualizing scholarly networks using the Network Workbench Tool. Scientometrics, 83 (3), 863-876.

Full Text: 2010\Scientometrics83, 863.pdf

Abstract: The enormous increase in digital scholarly data and computing power combined with recent advances in text mining, linguistics, network science, and scientometrics make it possible to scientifically study the structure and evolution of science on a large scale. This paper discusses the challenges of this ‘BIG science of science’aEuro”also called ‘computational scientometrics’ research-in terms of data access, algorithm scalability, repeatability, as well as result communication and interpretation. It then introduces two infrastructures: (1) the Scholarly Database (SDB) (http://sdb.slis.indiana.edu), which provides free online access to 22 million scholarly records-papers, patents, and funding awards which can be cross-searched and downloaded as dumps, and (2) Scientometrics-relevant plug-ins of the open-source Network Workbench (NWB) Tool (http://nwb.slis.indiana.edu). The utility of these infrastructures is then exemplarily demonstrated in three studies: a comparison of the funding portfolios and co-investigator networks of different universities, an examination of paper-citation and co-author networks of major network science researchers, and an analysis of topic bursts in streams of text. The article concludes with a discussion of related work that aims to provide practically useful and theoretically grounded cyberinfrastructure in support of computational scientometrics research, education and practice.

Keywords: Algorithm Scalability, Co-Author, Communication, Comparison, Computational Scientometrics, Cyberinfrastructure, Data Access, Database, Education, Evolution, Evolution of Science, Funding, Interpretation, Linguistics, Network Workbench, Networks, Open Access, Open Source, Patents, Related Tools, Research, Researchers, Scale, Scholarly Database, Science, Science of Science, Scientometrics, Text Mining, Text-Mining, Topic, Universities

? Yang, S.L., Qiu, J.P. and Xiong, Z.Y. (2010), An empirical study on the utilization of web academic resources in humanities and social sciences based on web citations. Scientometrics, 84 (1), 1-19.

Full Text: 2010\Scientometrics84, 1.pdf

Abstract: In this era of a rapid change in the way people finding and using information resources, despite that the academic communication and using patterns for people in the traditional print environment have been studied for many years, the Internet media presents a new and relatively unexplored area for such study. In this article, we explored the distribution and utilization of web recourses in humanities and social sciences based on web citations. We collected 1,421,731 citations listed in 148,172 articles from 493 journals published during the period of 2006-2007 in the CSSCI, which resulted in 44,973 web citations. We counted the amount and types of web resources used in various disciplines, analyzed the URLs frequency from the host-level, fitted the frequency distribution into the regression models with SPSS, and perform the disciplines coupling analysis based on the web citations. We found out that: (a) The distributions of web citations by years or by websites and webpage types are selective and regular, (b) Great disparity exists among various disciplines in terms of using web information, and the high-frequency websites, (c) The frequency distribution of web citations is similar to the Garfield’s citation distribution curve, (d) Some relationships between disciplines are detected, based on the utilization of web information.

Keywords: Accessibility, Articles, Change, Citation, Citations, Communication, Cssci, Distribution, Electronic Resources, Environment, Humanities, Humanities And Social Sciences, Information-Science, Internet, Internet References, Journals, Models, Persistence, Regression, Social Sciences, Stability, Web Citation, Web Recourses, Web Reference

? Trimble, V. (2010), A generation of astronomical telescopes, their users, and publications. Scientometrics, 84 (1), 21-34.

Full Text: 2010\Scientometrics84, 21.pdf

Abstract: Research astronomers and the telescopes they use each have typical life spans of about 40 years. Most of their journals live a good deal longer, though the second most important one today is only 40 years old. This paper looks at numbers for productivity and impact of specific astronomical facilities, changes in equality of opportunities and achievements in observational astronomy, and some aspects of national contributions. The focus is on optical astronomy, though something is also said about radio telescopes and astronomy from space. In summary, nothing stays “best of class” for very long, the fraction of the community with access to the most valuable facilities has increased with time (more equality of opportunity), but the fraction of citations earned by the few super-star papers has also increased (less equality of achievement), and the USA remains the host of the most-cited journals and the most productive telescopes, though Europe (meaning in this context the member nations of the European Southern Observatory, the European Space Agency, and the supporters of the journal Astronomy & Astrophysics) are fast closing the gap, with the UK retaining its own journal and some observing facilities not shared with either the USA or other European countries. Detailed examination of specific facilities indicates that size (of telescope, community, and budget) are all of great importance, but that the most significant “focal plane instrument” is still the astronomer at the virtual eyepiece. The changes have happened against a background of enormous increases in numbers of astronomers, sizes of available facilities (but not total number), numbers of papers (but not of journals), and numbers of citations per paper. A significant subset of the conclusions on turnover of people and facilities accompanying major growth: opportunity versus achievement, Europe versus the USA, and the trade-off between community size and the influence of individual scientists undoubtedly apply in many other fields.

Keywords: Astrophysics, Background, Budget, Citation Impact, Citations, Europe, Growth, Impact, Journal, Journals, Observational Astronomy, Optical Telescopes, Productivity, Publication Productivity, Publications, Research, Telescope, UK, USA

? Campanario, J.M. (2010), Distribution of changes in impact factors over time. Scientometrics, 84 (1), 35-42.

Full Text: 2010\Scientometrics84, 35.pdf

Abstract: I studied the distribution of changes in journal impact factors (JIF) between 1998 and 2007 according to an empirical beta law with two exponents. Changes in JIFs (CJIF) were calculated as the quotient obtained by dividing the JIF for a given year by the JIF for the preceding year. The CJIFs showed good fit to a beta function with two exponents. In addition, I studied the distribution of the changes in segments of the CJIF rank order. The distributions, which were similar from year to year, could be fitted to a Lorentzian function. The methods used here can be useful to understand the changes in JIFs using relatively simple functions.

Keywords: Citations, Distribution, Distribution of Changes In Impact Factors, Impact, Impact Factor, Impact Factors, Journal, Journal Impact, Journals, Methods

? Vannucci, S. (2010), Dominance dimension: a common parametric formulation for integer-valued scientific impact indices. Scientometrics, 84 (1), 43-48.

Full Text: 2010\Scientometrics84, 43.pdf

Abstract: We introduce the dominance dimension principle and the parameterized family of criteria for the assessment of publication/citation profiles it generates. We show that by a suitable choice of parameters dominance dimension may specialize to the most widely known and used of those impact scores for the scientific output of authors which disallow endogenous reputation effects, including the Durfee- or h-number, the publication number and the citation number.

Keywords: Assessment, Citation, Criteria, Effects, H-Index, Hirsch-Index, Impact, Integer-Valued Scores, Output, Parameters, Primitive Recursive Functions, Publication, Scientific Impact, Scientific Impact Indices, Scientific Output

? Sangam, S.L., Liming, L. and Ganjihal, G.A. (2010), Modeling the growth of Indian and Chinese liquid crystals literature as reflected in Science Citation Index (1997-2006). Scientometrics, 84 (1), 49-52.

Full Text: 2010\Scientometrics84, 49.pdf

Abstract: The present paper describes the application of growth models as suggested by Egghe and Ravichadra Rao (Scientometrics 25:5-46, 1992). The scope of the paper is limited to study the growth and dynamics of Indian and Chinese publications in the field of liquid crystals research (1997-2006).

Keywords: Citation, Dynamics, Growth, Liquid Crystals, Literature, Modeling, Modeling The Growth, Models, Publications, Research, Science, Science Citation Index, Scientometrics

? Luan, C.J., Zhou, C.Y. and Liu, A.Y. (2010), Patent strategy in Chinese universities: a comparative perspective. Scientometrics, 84 (1), 53-63.

Full Text: 2010\Scientometrics84, 53.pdf

Abstract: Patenting and licensing is not only a significant method of university knowledge transfer, but also an important indicator for measuring academic R&D strength and knowledge utilization. The methodologies of quantitative and qualitative analysis, including a special patent h-index indicator to assess patenting quality, were used to examine university patenting worldwide. Analysis of university patenting from 1998 to 2008 showed a significant overall global increase in which Chinese academia stands out: most of the top 20 universities in patenting in 2008 were in China. However, a low rate of utilization of Chinese academic patents may have roots in: (1) university research evaluation system encourages the patent production more, rather than the utilization, (2) problems in the formal mechanisms for university technology transfer and licensing, (3) industry’s limited expectation and receptive capabilities and/or (4) a mismatch between the interests of the two institutional spheres. The next action to be taken by government, university and industry in China will be to explore strategies for improving academic patent quality and industry take-up.

Keywords: Academic Patent Industrialization, Bayh-Dole Act, China, Evaluation, Global, h Index, h-Index, Index, Industry, Knowledge, Mechanisms, Patent, Patent Quality Strategy, Patenting and Licensing, Patentometric, Patents, Production, Quality, Quantitative, R&D, Research, Research Evaluation, Roots, System, Technology, Technology Transfer, Universities, University, University Patenting, University Research, University Technology Transfer

? Bador, P. and Lafouge, T. (2010), Comparative analysis between impact factor and h-index for pharmacology and psychiatry journals. Scientometrics,