88 (3), 707-728.
Full Text: 2011\Scientometrics88, 707.pdf
Abstract: This article presents for the first time a portrait of intramural research conducted by the U.S. Department of Agriculture (USDA). We describe the nature, characteristics, and use of USDA research based on scientometric indicators using patent analysis and three bibliometric methods: publication analysis, citation analysis, and science mapping. Our analyses are intended to be purely descriptive in nature. They demonstrate that USDA maintains several core scientific competencies and its research is much broader than and reaches well beyond traditional agricultural sciences for which it is best known. We illustrate the current status, recent trends, and clear benchmarks for planning and assessing future USDA research across an array of scientific disciplines.
Keywords: Agriculture, Analysis, Bibliometric, Bibliometric Methods, Citation, Citation Analysis, Education, Extension, Federal Research, Impact, Indicators, Intramural Research, Mapping, Patent, Publication, Research, Research Benchmarking, Research Output, Science, Sciences, Traditional, Trends, USDA
? Dorta-González, P. and Dorta-González, M.I. (2011), Central indexes to the citation distribution: A complement to the h-index. Scientometrics, 88 (3), 729-745.
Full Text: 2011\Scientometrics-Dorta.pdf; 2011\Scientometrics88, 729.pdf
Abstract: The citation distribution of a researcher shows the impact of their production and determines the success of their scientific career. However, its application in scientific evaluation is difficult due to the bi-dimensional character of the distribution. Some bibliometric indexes that try to synthesize in a numerical value the principal characteristics of this distribution have been proposed recently. In contrast with other bibliometric measures, the biases that the distribution tails provoke, are reduced by the h-index. However, some limitations in the discrimination among researchers with different publication habits are presented in this index. This index penalizes selective researchers, distinguished by the large number of citations received, as compared to large producers. In this work, two original sets of indexes, the central area indexes and the central interval indexes, that complement the h-index to include the central shape of the citation distribution, are proposed and compared.
Keywords: Bibliometric, Bibliometric Indexes, Bibliometric Indicators, Citation, Citation Analysis, Citations, Discrimination, Egghes G, Evaluation, h Index, h-Index, Hirschs h, Impact, Indexes, Output, Publication, Research Career Evaluation, Researchers, Scientific-Research, Success
? Inglesi-Lotz, R. and Pouris, A. (2011), Scientometric impact assessment of a research policy instrument: the case of rating researchers on scientific outputs in South Africa. Scientometrics, 88 (3), 747-760.
Full Text: 2011\Scientometrics88, 747.pdf
Abstract: The influence of the National Research Foundation’s (NRF) rating system on the productivity of the South African social science researchers is investigated scientometrically for the period from 1981 to 2006. Their output performance is mainly indicated by their research publications. Following international best practice in scientometrics as well as the behavioural reinforcement theory, we employed the “before/after control impact (BACI) method”, as well as the well known econometric breakpoint test as proposed by Chow. We use as control group the publications in the field of clinical medicine. The field is not supported by NRF and hence clinical medicine researchers are not affected by the evaluation and rating system. The findings show a positive impact of the NRF programme on the research outputs of social sciences researchers and the implementation of the programme has increased the relevant population of research articles by an average of 24.5% (during the first 5 years) over the expected number of publication without the programme. The results confirm the scientometric findings of other studies (e. g. that of Nederhof) that ratings promulgate research productivity.
Keywords: Africa, Assessment, Clinical Medicine, Control, Economics, Evaluation, Impact, Incentives, Medicine, Policy, Practice, Productivity, Programs, Publication, Publications, Quasi Experimental Design, Research, Research Policy, Research Productivity, Researchers, Science, Sciences, Scientometrics, Social, Social Sciences, South Africa, Theory
? Wang, X.W., Zhang, X. and Xu, S.M. (2011), Patent co-citation networks of Fortune 500 companies. Scientometrics, 88 (3), 761-770.
Full Text: 2011\Scientometrics88, 761.pdf
Abstract: This paper provides an overview of the progression of technology structure based on patent co-citation networks. Methods of patent bibliometrics, social network analysis and information visualization are employed to analyze patents of Fortune 500 companies indexed in Derwent Innovations Index, the largest patent database in the world. Based on the co-citation networks, several main technology groups are identified, including Chemicals, Petroleum Refining, Motor Vehicles, Pharmaceuticals, Electronics, etc. Relationships among the leading companies and technology groups are also revealed.
Keywords: Analysis, Bibliometrics, Biotechnology, Classification, Cocitation, Fortune 500, Genetic-Engineering Research, Indicators, Information, Information Visualization, Innovations, Knowledge, Methods, Overview, Patent, Patent Bibliometrics, Patent Co-Citation, Pharmaceuticals, Progression, Sectors, Social, Social Network, Social Network Analysis, System, Technology Structure, Visualization
? Torres-Salinas, D., Moreno-Torres, J.G., Delgado-López-Cózar, E. and Herrera, F. (2011), A methodology for Institution-Field ranking based on a bidimensional analysis: The IFQ2A index. Scientometrics, 88 (3), 771-786.
Full Text: 2011\Scientometrics88, 771.pdf
Abstract: The problem of comparing academic institutions in terms of their research production is nowadays a priority issue. This paper proposes a relative bidimensional index that takes into account both the net production and the quality of it, as an attempt to provide a comprehensive and objective way to compare the research output of different institutions in a specific field, using journal contributions and citations. The proposed index is then applied, as a case study, to rank the top Spanish universities in the fields of Chemistry and Computer Science in the period ranging from 2000 until 2009. A comparison with the top 50 universities in the ARWU rankings is also made, showing the proposed ranking is better suited to distinguish among non-elite universities.
Keywords: Academic Rankings, Analysis, ARWU, Bibliometrics, Bidimensional Analysis, Chemistry, Citations, Evaluation Models, h-Index, Higher Education, Highly Cited Papers, Impact, Journal, Methodology, Ranking, Rankings, Research, Research Output, Research Performance Assessment, Research Production, Science, Shanghai Ranking, Spanish Universities, Universities
? Schubert, T. (2011), Assessing the value of patent portfolios: An international country comparison. Scientometrics, 88 (3), 787-804.
Full Text: 2011\Scientometrics88, 787.pdf
Abstract: Patent counts have been extensionally used to measure the innovative capacities of countries. However, since economic values of patents may differ, simple patent counts may give misleading rankings, if the patents of one country are on average more valuable than those of another. In the literature several methods have been proposed, which shall adjust for these differences. However, often these do not possess a solid economic micro-foundation and therefore are often ad-hoc and arbitrary procedures. In this paper, we intend to present an adjustment method that is based on the analysis of renewal decisions. The method builds on the theoretical model used in Schankerman and Pakes (1986) and Besson (2008) but goes beyond both approaches in that it recovers the important long tail of the value distribution. It also transfers Besson’s (2008) econometric methodology (applicable to the organisational structures of the US Patent and Trademark Office) also to the European Patent Office which is necessary, since each application here may split up into several national patent documents. The analysis is performed for 22 countries. Exemplarily, we find that in the cohort of 1986 patent applications, Danish patents are about 60% more valuable than the average patent. German patents are a bit below average. Japanese patents are of least value. In the cohort of 1996, Danish patents lose some of their lead but are still more valuable than the average. While German are a bit above average, Japanese patents even fall further behind (possibly due to the economic downturn in since the mid of 1990ies).
Keywords: Adjustment, Analysis, Citations, Country Comparison, Differences, Field, Indicators, Japanese, Lead, Literature, Methodology, Model, Patent, Patent Count, Rankings, Renewal Fees, Technology, US, Value
? Huang, M.C., Fang, S.C. and Chang, S.C. (2011), Tracking R&D behavior: Bibliometric analysis of drug patents in the Orange Book. Scientometrics, 88 (3), 805-818.
Full Text: 2011\Scientometrics88, 805.pdf
Abstract: The Publication Approved Drug Products with Therapeutic Equivalence Evaluations (commonly known as the Orange Book) identifies drug products approved by the United States Food and Drug Administration (USFDA) for safety and effectiveness, and provides substantial information on new drug applications (NDAs) with patent data. To explore the patterns among drug patents in the Orange Book, this study used patent bibliometric analysis. The productivity and impact are presented at the assignee level and applicant level, respectively, and the applicant’s patent portfolio is further discussed. 2,033 drug patents are identified in this current study. Our findings indicate that the applicant’s patent portfolio in the Orange Book is helpful in revealing the technological capability and patent strategy of the pharmaceutical incumbents. By linking drug data and patent information, this current study sheds light on patent research in the pharmaceutical industry.
Keywords: Administration, Analysis, Behavior, Bibliometric, Bibliometric Analysis, Biotechnology, Citations, Drug, Effectiveness, Evaluations, Firms, Genetic-Engineering Research, Impact, Industry, Information, Innovation, Ndas, Orange Book, Patent, Patent Sourcing, Perspective, Pharmaceutical Industry, Pharmaceutical-Industry, Productivity, Research, Safety, Science, Strategy, Technology
? Liu, X.H., Glänzel, W. and De Moor, B. (2011), Hybrid clustering of multi-view data via Tucker-2 model and its application. Scientometrics, 88 (3), 819-839.
Full Text: 2011\Scientometrics88, 819.pdf
Abstract: With the modern technology fast developing, most of entities can be observed by different perspectives. These multiple view information allows us to find a better pattern as long as we integrate them in an appropriate way. So clustering by integrating multi-view representations that describe the same class of entities has become a crucial issue for knowledge discovering. We integrate multi-view data by a tensor model and present a hybrid clustering method based on Tucker-2 model, which can be regarded as an extension of spectral clustering. We apply our hybrid clustering method to scientific publication analysis by integrating citation-link and lexical content. Clustering experiments are conducted on a large-scale journal set retrieved from the Web of Science (WoS) database. Several relevant hybrid clustering methods are cross compared with our method. The analysis of clustering results demonstrate the effectiveness of the proposed algorithm. Furthermore, we provide a cognitive analysis of the clustering results as well as the visualization as a mapping of the journal set.
Keywords: Analysis, Bibliometric Analysis, Combined Cocitation, Effectiveness, Hybrid, Hybrid Clustering, Information, Journal, Knowledge, Mapping, Model, Multi-View Data, Networks, Publication, Science, Scientific Publication, Singular-Value Decomposition, Tensor, Text, Text Mining, Visualization, Web of Science, Word Analysis, WOS
? Fu, H.Z., Chuang, K.Y., Wang, M.H. and Ho, Y.S. (2011), Characteristics of research in China assessed with Essential Science Indicators. Scientometrics, 88 (3), 841-862.
Full Text: 2011\Scientometrics88, 841.pdf; 2011\Scientometrics-Fu1.pdf; 2011\Scientometrics-Fu.pdf
Abstract: To provide an overview of the characteristics of research in China, a bibliometric evaluation of highly cited papers with high-level representation was conducted during the period from 1999 to 2009 based on the Essential Science Indicators (ESI) database. A comprehensive assessment covered overall performance, journals, subject categories, internationally collaborative countries, national inter-institutionally collaborative institutions, and most-cited papers in 22 scientific fields. China saw a strong growth in scientific publications in the last decade, to some extent due to increasing research and development expenditure. China has been more active in ESI fields of chemistry and physics, but more excellent in materials science, engineering and mathematics. Most publications were concerned with the common Science Citation Index subject categories of multidisciplinary chemistry, multidisciplinary materials and science, and physical chemistry. About one half China’s ESC papers were internationally collaborative and the eight major industrialized countries (the USA, Germany, the UK, Japan, France, Canada, Russia, and Italy) played a prominent role in scientific collaboration with China, especially the USA. The Chinese Academy of Sciences took the leading position of institutions with many branches. The “985 Project” stimulated the most productive institutions for academic research with a huge funding injection and the universities in Hong Kong showed good scientific performance. The citation impact of internationally collaborative papers differed among fields and international collaborations made positive contributions to academic research in China.
Keywords: Assessment, Basic Research, Bibliometric, Bibliometric Analysis, Bibliometric Analysis, Canada, China, Citation, Citation Impact, Citation-Classics, Collaboration, Development, ESI, Essential Science Indicator, Evaluation, France, Funding, Germany, Growth, Highly Cited Papers, Highly-Cited, Hong Kong, Impact, Indicators, Italy, Japan, Journals, Overview, Papers, Publications, Research, Research and Development, Research Performance, Science, Science Citation Index, Scientific Collaboration, Scientific Publications, Scientometric Analysis, Sociology, Top-Cited Articles, Trends, UK
? Choi, S., Yoon, J., Kim, K., Lee, J.Y. and Kim, C.H. (2011), SAO network analysis of patents for technology trends identification: A case study of polymer electrolyte membrane technology in proton exchange membrane fuel cells. Scientometrics, 88 (3), 863-883.
Full Text: 2011\Scientometrics88, 863.pdf
Abstract: This paper suggests a method for Subject-Action-Object (SAO) network analysis of patents for technology trends identification by using the concept of function. The proposed method solves the shortcoming of the keyword-based approach to identification of technology trends, i.e., that it cannot represent how technologies are used or for what purpose. The concept of function provides information on how a technology is used and how it interacts with other technologies; the keyword-based approach does not provide such information. The proposed method uses an SAO model and represents “key concept” instead of “key word”. We present a procedure that formulates an SAO network by using SAO models extracted from patent documents, and a method that applies actor network theory to analyze technology implications of the SAO network. To demonstrate the effectiveness of the SAO network this paper presents a case study of patents related to Polymer Electrolyte Membrane technology in Proton Exchange Membrane Fuel Cells.
Keywords: Actor Network Theory, Analysis, Co-Word Analysis, Co-Word Analysis, Effectiveness, Fields, Function, Information, Level, Model, Network Theory, Patent, Patent Analysis, Patent Mining, Polymer, Product, Research-And-Development, Scientometrics, Technology Subject-Action-Object (SAO), Technology Trends Analysis, Theory, Tool, Trends
? Inanc, O. and Tuncer, O. (2011), The effect of academic inbreeding on scientific effectiveness. Scientometrics, 88 (3), 885-898.
Full Text: 2011\Scientometrics88, 885.pdf
Abstract: In academia, the term “inbreeding” refers to a situation wherein PhDs are employed in the very same institution that trained them during their doctoral studies. Academic inbreeding has a negative perception on the account that it damages both scientific effectiveness and productivity. In this article, the effect of inbreeding on scientific effectiveness is investigated through a case study. This problem is addressed by utilizing Hirsch index as a reliable metric of an academic’s scientific productivity. Utilizing the dataset, constructed with academic performance indicators of individuals from the Mechanical and Aeronautical Engineering Departments, of the Turkish Technical Universities, we demonstrate that academic inbreeding has a negative impact on apparent scientific effectiveness through a negative binomial model. This model appears to be the most suitable one for the dataset which is a type of count data. We report chi-square statistics and likelihood ratio test for the parameter alpha. According to the chi-square statistics the model is significant as a whole. The incidence rate ratio for the variable “inbreeding” is estimated to be 0.11 and this ratio tells that, holding all the other factors constant, for the inbred faculty, the h-index is about 89% lower when compared to the non-inbred faculty. Furthermore, there exists negative and statistically significant correlation with an individual’s productivity and the percentage of inbred faculty members at the very same department. Excessive practice of inbreeding adversely affects the overall productivity. Decision makers are urged to limit this practice to a minimum in order to foster a vibrant research environment. Furthermore, it is also found that scientific productivity of an individual decreases towards the end of his scientific career.
Keywords: Academic Inbreeding, Chi-Square, Effectiveness, Environment, Faculty, h Index, h-Index, Hirsch Index, Hirsch-Index, Impact, Incidence, Likelihood Ratio, Model, Perception, Performance Indicators, Practice, Productivity, Ratio, Research, Scientific Effectiveness, Scientific Productivity, Statistics, Turkish Universities, Universities
? Lapon-Kandelshein, E. and Prebor, G. (2011), Bibliographical research in the study of Hebrew printing: A bibliometric analysis. Scientometrics, 88 (3), 899-913.
Full Text: 2011\Scientometrics88, 899.pdf
Abstract: The study presents the state of bibliographical research in the discipline of Hebrew printing during a 30-year period, ranging from the latter quarter of the twentieth century until the beginning of the third millennium (1976-2006). Through bibliographical parameters it characterizes the publications dealing with Hebrew printing, examines whether the published material exhibits laws and systematic regularities that are consistent with Bibliometrics, and describes directions in which the field has developed.
Keywords: Analysis, Bibliography, Bibliometric, Bibliometric Analysis, Bibliometrics, Hebrew Printing, Law, Publications, Research, Systematic
? Abramo, G., D’Angelo, C.A. and Di Costa, F. (2011), Research productivity: Are higher academic ranks more productive than lower ones? Scientometrics, 88 (3), 915-928.
Full Text: 2011\Scientometrics88, 915.pdf
Abstract: This work analyses the links between individual research performance and academic rank. A typical bibliometric methodology is used to study the performance of all Italian university researchers active in the hard sciences, for the period 2004-2008. The objective is to characterize the performance of the ranks of full (FPs), associate and assistant professors (APs), along various dimensions, in order to verify the existence of performance differences among the ranks in general and for single disciplines.
Keywords: Academic Rank, Bibliometric, Bibliometrics, Differences, Italy, Methodology, Productivity, Publication, Research, Research Performance, Research Productivity, Researchers, Sciences, Universities, University
? Nikolic, N., Bagliniere, J.L., Rigaud, C., Gardes, C., Masquilier, M.L. and Taverny, C. (2011), Bibliometric analysis of diadromous fish research from 1970s to 2010: A case study of seven species. Scientometrics, 88 (3), 929-947.
Full Text: 2011\Scientometrics88, 929.pdf
Abstract: The aim of this study was to explore the research trends and the evolution of publications covered on diadromous fish from 1970s to 2010. We conducted a bibliometric analysis on seven patrimonial species: Atlantic salmon (Salmo salar), Brown and Sea trout (Salmon trutta), Allis shad (Alosa alosa), Twaite shad (Alosa fallax), Eel (Anguilla Anguilla), Sea lamprey (Petromyzon marinus) and River lamprey (Lampetra fluviatilis). We used bibliometric techniques on the total number of research (articles, books, and conferences) in all country in function of main fields such as growth/age, reproduction, migration, habitat, aquaculture, diseases, diet, abundance, fisheries, climate change, toxicology, dams/fishways, genetics, taxonomy, modelling, resource management, and stocking. The results revealed a clear difference in the evolution of scientific studies by species and by countries. The analysis comparisons showed the intensity of certain topics by species with the emergence of new ones, the economic impact on sciences and the increased support of conservation plan management for certain species, such as salmon and lamprey in France. This study also emerged that French research is not always consistent with the international trend which suggests the dominance of management systems on scientific studies.
Keywords: Analysis, Anguilla-Anguilla, Atlantic Salmon, Bibliometric, Bibliometric Analysis, Climate Change, Clustering, Conservation, Diadromous Fish, Diet, Ecology, European Eel, Evolution, Fish, France, Genetics, History, Impact, Lampetra-Planeri Bloch, Management, Modelling, Norway, Publications, Reproduction, Research, Research Trends, River, Salmon Salmo-Salar, Sciences, Topics, Trend, Trends
? Hu, M.C. (2011), Evolution of knowledge creation and diffusion: the revisit of Taiwan’s Hsinchu Science Park. Scientometrics, 88 (3), 949-977.
Full Text: 2011\Scientometrics88, 949.pdf
Abstract: The Hsinchu Science Park in Taiwan has been synonymous with dynamic and flourishing high-tech industries and companies since the 1980s. Using patent citation data, this empirical study shows that Taiwan’s Hsinchu Science Park is a healthy and knowledge-based cluster surrounded by the semiconductor sector, in which external knowledge is continuously playing an important role, while internalized capability is building up quickly; new and extended industrial clusters are being established by the growth of new ventures; and the linkages of capital, manpower, and technology flows are conducted respectively by the large business groups, the NTHU and NCTU, and the ITRI in the region. Subsequent sectors, repeating the successful model created by and catalyzed from the semiconductor sector are flourishing; the thin-film transistor-liquid crystal display (TFT-LCD) and integrated circuit (IC) design sectors have been growing rapidly since the beginning of the 2000s, and the solar photovoltaic and LED (Light-Emitting Diode) sectors emerged quickly in mid-2005. The continuous evolving and growing industries along with the significant increase of value added in the Hsinchu Science Park have demonstrated it is acting as a healthy and vivid innovation region. The policy implications derived from this study can thus shed light, for the Southeast Asian, Latin American or other latecomers, on the strategies for formulating regional research and innovation policies in the process of developing a knowledge-based economy.
Keywords: Catch-Up, Citation, Design, Diffusion, Evolution, Flow, Growth, Industries, Industry, Innovation, Knowledge, Knowledge Flows, Korea, Latin American, Model, Networks, Patent, Patent Citation, Patent Citations, Policies, Policy, Region Innovation System, Research, Research-And-Development, Science, Science Park, Taiwan, Technology, USA
? Halkos, G.E. and Tzeremes, N.G. (2011), Measuring economic journals’ citation efficiency: A data envelopment analysis approach. Scientometrics,
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