Personal Research Database

Full Text: 2009\Scientometrics80, 91.pdf

Abstract: This paper aimed to examine the reliability of co-citation clustering analysis in representing the research history of subject by comparing the results from co-citation clustering analysis with a review written by authorities. Firstly, the treatment of traumatic spinal cord injury was chosen as an investigated subject to be retrieved the resource articles and their references were downloaded from Science Citation Index CD-ROM between 1992 and 2002. Then, the highly cited papers were arranged chronologically and clustered with the method of co-citation clustering. After mapping the time line visualization, the history and structure of treatment of spinal cord injury were presented clearly. At last, the results and the review were compared according the time period, and then the recall and the precision were calculated. The recall was 37.5%, and the precision was 54.5%. The research history of traumatic spinal cord injury treatment analyzed by co-citation clustering was nearly consistent with authoritative review, although some clusters had shorter period than which was summarized by professionals. This paper concluded that co-citation clustering analysis was a useful method in representing the research history of subject, especially for the information researchers, who do not have enough professional knowledge. Its demerit of low recall could be offset by combination this method with other analytic techniques.

Keywords: Analysis, Authoritative, History, Information, Injury, Knowledge, Mapping, Professional Knowledge, Professionals, Reliability, Research, Review, Spinal Cord, Structure, Traumatic, Treatment

? Schneider, J.W., Larsen, B. and Ingwersen, P. (2009), A comparative study of first and all-author co-citation counting, and two different matrix generation approaches applied for author co-citation analyses. Scientometrics, 80 (1), 103-130.

Full Text: 2009\Scientometrics80, 103.pdf

Abstract: The present article contributes to the current methodological debate concerning author co-citation analyses. (ACA) The study compares two different units of analyses, i.e. first- versus inclusive all-author co-citation counting, as well as two different matrix generation approaches, i.e. a conventional multivariate and the so-called Drexel approach, in order to investigate their influence upon mapping results. The aim of the present study is therefore to provide more methodological awareness and empirical evidence concerning author co-citation studies. The study is based on structured XML documents extracted from the IEEE collection. These data allow the construction of ad-hoc citation indexes, which enables us to carry out the hitherto largest all-author co-citation study. Four ACA are made, combining the different units of analyses with the different matrix generation approaches. The results are evaluated quantitatively by means of multidimensional scaling, factor analysis, Procrustes and Mantel statistics. The results show that the inclusion of all cited authors can provide a better fit of data in two-dimensional mappings based on MDS, and that inclusive all-author co-citation counting may lead to stronger groupings in the maps. Further, the two matrix generation approaches produce maps that have some resemblances, but also many differences at the more detailed levels. The Drexel approach produces results that have noticeably lower stress values and are more concentrated into groupings. Finally, the study also demonstrates the importance of sparse matrices and their potential problems in connection with factor analysis. We can confirm that inclusive all-ACA produce more coherent groupings of authors, whereas the present study cannot clearly confirm previous findings that first-ACA identifies more specialties, though some vague indication is given. Most crucially, strong evidence is given to the determining effect that matrix generation approaches have on the mapping of author co-citation data and thus the interpretation of such maps. Evidence is provided for the seemingly advantages of the Drexel approach.

Keywords: ACA, Analysis, Awareness, Citation, Classification, Coefficient, Comparative, Current, Evidence, Factor Analysis, Generation, Inclusion, Influence, Information-Science, Lead, Mapping, Maps, Networks, Problems, Proximity-Measures, Resemblance, Statistics, Stress, Values

? Acosta, M., Coronado, D. and Fernandez, A. (2009), Exploring the quality of environmental technology in Europe: evidence from patent citations. Scientometrics, 80 (1), 131-152.

Full Text: 2009\Scientometrics80, 131.pdf

Abstract: In this paper we carry out an empirical analysis to address some questions concerning the production and quality of technology in environmental sectors. The methodology involves patents as a measure of the generation of new knowledge, and patent citations as a proxy for the quality of a technological invention. The sample contains more than 12,000 environmental European patents from firms and government institutions from 1998 to 2004. From our econometric analysis, we found that environmental patents applied by individual inventors present on average less quality that those applied by institutional inventors. The size of family patent is relevant to explain forward patent citation. Furthermore, patents coming from abroad (out of Europe), in particular with US and Japan priority, are more cited on average than local patents (with European priority). Lastly, the specialization in environmental fields of a patent plays a negative role in determining the frequency of forward citation.

Keywords: Analysis, Citation, Citations, Diffusion, Environmental, Europe, Evidence, Family, Generation, Government Institutions, Impact, Indicators, Individual, Innovation, Institutions, Japan, Knowledge, Methodology, Policy, Production, Quality, Rights, Technology, US

? Gantman, E.R. (2009), International differences of productivity in scholarly management knowledge. Scientometrics, 80 (1), 153-165.

Full Text: 2009\Scientometrics80, 153.pdf

Abstract: Using a dataset of refereed conference papers, this work explores the determinants of academic production in the field of management. The estimation of a count data model shows that the countries’ level of economic development and their economy size have a positive and highly significant effect on scholarly management knowledge production. The linguistic variable (English as official language), which has been cited by the literature as an important factor facilitating the participation in the international scientific arena, has also a positive and statistically significant effect.

Keywords: Academic, Determinants, Development, Economic, Economic Development, International, Knowledge, Language, Literature, Management, Model, Participation, Production, Productivity, Science, Technology, Work, World

? Mukherjee, B. (2009), Scholarly research in LIS open access electronic journals: A bibliometric study. Scientometrics, 80 (1), 167-194.

Full Text: 2009\Scientometrics80, 167.pdf

Abstract: Using 17 fully open access electronic journals published uninterruptedly during 2000-2004 in the field of Library and Information Science the present study investigated the trend of LIS Open Access e-journals’ literature by analysing articles, authors, institutions, countries, subjects, & references. Quantitative content analysis was carried out on the data, data were analysed in order to project literature growth, authorship pattern, gender pattern, cited references pattern and related bibliometric phenomena. The analysis indicates that there were as many as 1636 articles published during 2000-2004 with an average increment of 23.75 articles per year. The authorship pattern indicates that team research has not been very common in LIS OA publishing and male authors were keener than female authors. Authors from academic institutions were paid more interest in OA publishing and most of them were from developed nations. The subject coverage of these OA e-journals was very vast and almost all facets of information and library science were covered in these articles. There were 90.10% of articles of these e-journals contained references and on an average an article contained 24 references. Of these, 38.53% of references were hyperlinked and 87.35% of hyperlinked references were live during investigation. The analysis of data clearly indicates that OA e-journals in LIS are rapidly establishing themselves as a most viable media for scholarly communication.

Keywords: Academic, Access, Analysis, Area, Articles, Authorship, Bibliometric, Citation Analysis, Collaboration, Communication, Content Analysis, Coverage, Female, Gender, Growth, Impact, Information, Information-Science, Institutions, Internet, Journals, Library, Lis, Literature, Male, Media, Research, Science

? Elmacioglu, E. and Lee, D. (2009), Modeling idiosyncratic properties of collaboration networks revisited. Scientometrics, 80 (1), 195-216.

Full Text: 2009\Scientometrics80, 195.pdf

Abstract: A study on the network characteristics of two collaboration networks constructed from the ACM and DBLP digital libraries is presented. Different types of generic network models and several examples are reviewed and experimented on re-generating the collaboration networks. The results reveal that while these models can generate the power-law degree distribution sufficiently well, they are not able to capture the other two important dynamic metrics: average distance and clustering coefficient. While all current models result in small average distances, none shows the same tendency as the real networks do. Furthermore all models seem blind to generating large clustering coefficients. To remedy these shortcomings, we propose a new model with promising results. We get closer values for the dynamic measures while having the degree distribution still power-law by having link addition probabilities change over time, and link attachment happen within local neighborhood only or globally, as seen in the two collaboration networks.

Keywords: Attachment, Blind, Change, Collaboration, Competition, Complex Networks, Current, Distribution, Dynamic, Evolution, Evolving Networks, Measures, Model, Modeling, Models, Neighborhood, Networks, Small-World Networks, Topology, Values

? Vasconcelos, S.M.R., Sorenson, M.M. and Leta, J. (2009), A new input indicator for the assessment of science & technology research? Scientometrics, 80 (1), 217-230.

Full Text: 2009\Scientometrics80, 217.pdf

Abstract: Traditional input indicators of research performance, such as research funding, number of active scientists, and international collaborations, have been widely used to assess countries’ publication output. However, while publication in today’s English-only research world requires sound research in readable English, English proficiency may be a problem for the productivity of non-native English-speaking (NNES) countries. Data provided by the Brazilian National Research Council (CNPq) containing the academic profile of 51,223 Brazilian researchers show a correlation between English proficiency and publication output. According to our results, traditional input indicators may fall short of providing an accurate representation of the research performance of NNES developing countries.

Keywords: Academic, Assessment, Correlation, Developing Countries, English, Indicators, International, Language, Performance, Productivity, Profile, Publication, Representation, Research, Science, Technology

? Ketzler, R. and Zimmermann, K.F. (2009), Publications: German economic research institutes on track. Scientometrics, 80 (1), 231-252.

Full Text: 2009\Scientometrics80, 231.pdf

Abstract: About a decade ago the German Science Council requested a strengthening of academic research at the German economic research institutes to improve the academic foundation of policy advice - the traditional task of the institutes. Based on publications in SSCI journals, research output has since then improved remarkably in scope and quality and has involved an ever rising number of scholars within the institutes. It can be considered to be a substantial success, which should be internationally recognized. The present study demonstrates that for a wide range of different methods the rankings of publication performance is fairly robust. The results are distorted, however, if they are based on a highly selective list of journals as was the case in previous literature.

Keywords: Academic, Economic, Journals, Literature, Methods, Performance, Policy, Quality, Research

? Aminpour, F., Kabiri, P., Otroj, Z. and Keshtkar, A.A. (2009), Webometric analysis of Iranian universities of medical sciences. Scientometrics, 80 (1), 253-264.

Full Text: 2009\Scientometrics80, 253.pdf

Abstract: There are many researches have been conducted on webometrics, especially the impacts of websites on each other and the web impact factor. However, there are few studies focusing on the websites of Iranian universities. This study analyzed the websites of Iranian universities of medical sciences according to the webometric indicators. In a cross-sectional study, the number of web pages, inlinks, external inlinks and also the overall and absolute web impact factors for Iranian universities of medical sciences with active exclusive websites were calculated and compared using AltaVista search engine. Finally, the websites were ranked based on these webometric indicators. The results showed that the website of Tehran university of medical sciences with 49,300 web pages and 9860 inlinks was ranked first for the size and number of inlinks, while its impact factor was ranked 38th. Rafsanjan UMS with 15 web pages and 211 links had the highest rank for the web impact factor among Iranian universities of medical sciences. The study revealed that Iranian universities of medical sciences did not have much impact on the web and were not well known internationally. The major reason relies on linguistic barriers. Some of them also suffer from technical problems in their web design.

Keywords: Analysis, Barriers, Cross-Sectional, Design, Factors, Impact, Indicators, Medical, Problems, Sites, University, Web, Web Impact Factors

? Buela-Casal, G., Zych, I., Medina, A., Del Jesus, M.I.V., Lozano, S. and Torres, G. (2009), Analysis of the influence of the two types of the journal articles, theoretical and empirical on the impact factor of a journal. Scientometrics, 80 (1), 265-282.

Full Text: 2009\Scientometrics80, 265.pdf

Abstract: The study discusses the necessity to analyze the influence of theoretical and empirical types of journal articles on the citation impact of Spanish psychology journals. Three of the most representative Spanish psychology journals were selected for the purposes of this study: Papeles del Psiclogo, Analisis y Modificacin de Conducta and Psicothema. Twenty-three psychology journals in Spanish were used as source journals. Altogether, there were sixty-seven issues reviewed for the references and ninety-three issues for the articles. The bibliometricanalysis was conducted by six highly trained psychologists. The results demonstrated differences regarding the percentages of empirical and theoretical articles published in the three examined journals and the number of citations received by them based on the article type. When normalizing the results according to the number of theoretical and empirical articles that were published, it becomes evident that the theoretical articles receive on average twice as many references as the empirical ones. We discuss the importance of this effect on the comparison of journals based on their citation impact and show the evidence that it is only valid to compare journals which publish a similar percentage of theoretical and empirical articles.

Keywords: Citation, Citation-Index Database, Citations, Comparison, Evidence, Guide, Impact, Influence, Journal, Journals, Patterns, Physics, Psychology, Psychopathology, Publication

? Gao, X. and Guan, J.C. (2009), Networks of scientific journals: An exploration of Chinese patent data. Scientometrics, 80 (1), 283-302.

Full Text: 2009\Scientometrics80, 283.pdf

Abstract: We apply social network analysis to display the characteristics of the networks resulting from bibliographic coupling of journals by the Chinese patent data of United States Patent and Trademark Office (USPTO) between 1995 and 2002. The networks of journals in all fields, the three strongly science-based fields (i.e. Biotechnology, Pharmaceuticals, and Organic Fine Chemistry), and the three weakly science-based fields (i.e. Optics, Telecommunications, and Consumer Electronics), have been analyzed from the global and the ego views, respectively. We study a variety of statistical properties of our networks, including number of actors, number of edges, size of the giant component, density, mean degree, clustering coefficient and the centralization measures of the network. We also highlight some apparent differences in the network structure between the subjects studied. Besides, we use the three centrality measures, i.e. degree, closeness, and betweenness, to identify the important journals in the network of all fields and those strongly science-based networks.

Keywords: Analysis, Chinese, Domains, Journals, Linkages, Measures, Networks, References, Science Base, Scientific Journals, Social, Social Network, Social Network Analysis, Structure, Technology, United States

? Schmoch, U. and van Raan, A.F.J. (2009), Hariolf Grupp 3rd July 1950-20th January 2009 Obituary. Scientometrics, 80 (2), 303-304.

Full Text: 2009\Scientometrics80, 303.pdf

? Zhang, W.W., Qian, W.H. and Ho, Y.S. (2009), A bibliometric analysis of research related to ocean circulation. Scientometrics, 80 (2), 305-316.

Full Text: 2009\Scientometrics80, 305.pdf, 2009\Scientometrics80, 307-1.pdf

Abstract: This study is a bibliometric analysis on ocean circulation-related research for the period 1991-2005. Selected documents included “ocean circulation, sea circulation, seas circulation, marine circulation, and circulation ocean” as a part of the title, abstract or keywords. Analyzed parameters included the document type, the article output, the article distribution in journals, the publication activity of countries, and institutes and the authorship. An indicator, citation per publication (CPP) was applied to evaluate the scientific impact of a publication. The relationship between cumulative articles and the year was modeled. Three dominant categories were picked out, and their output increase was modeled. The USA was found to be leading the research with 47% share of total articles, with a CPP up to 5.9. Woods Hole Oceanography Institute in the USA was the most productive institute with a CPP of 6.8. In the citation analysis, a 5th year citation mode was found. A paper life model was applied to compare the cumulative citations increasing rates of different years.

Keywords: Analysis, Atlantic, Authorship, Bibliometric, Categories, Citation, Citations, Distribution, Impact, Journals, Life, Marine, Model, Relationship, Research, USA, WOCE

? Tol, R.S.J. (2009), The h-index and its alternatives: An application to the 100 most prolific economists. Scientometrics, 80 (2), 317-324.

Full Text: 2009\Scientometrics80, 317.pdf

Abstract: The h-index is a recent but already quite popular way of measuring research quality and quantity. However, it discounts highly-cited papers. The g-index corrects for this, but it is sensitivity to the number of never-cited papers. Besides, h- or g-index-based rankings have a large number of ties. Therefore, this paper introduces two new indices, and tests their performance for the 100 most prolific economists. A researcher has a t-number (f-number) of t (f) if t (f) is the largest number for which it holds that she has t (f) publications for which the geometric (harmonic) average number of citations is at least t (f). The new indices overcome the shortcomings of the old indices.

Keywords: Citations, Indices, Performance, Quality, Research, Sensitivity

? Marchant, T. (2009), An axiomatic characterization of the ranking based on the h-index and some other bibliometric rankings of authors. Scientometrics, 80 (2), 325-342.

Full Text: 2009\Scientometrics80, 325.pdf

Abstract: In the last few years, many new bibliometric rankings or indices have been proposed for comparing the output of scientific researchers. We propose a formal framework in which rankings can be axiomatically characterized. We then present a characterization of some popular rankings. We argue that such analyses can help the user of a ranking to choose one that is adequate in the context where she/he is working.

Keywords: Bibliometric, Characterization, Context, Indices, Output

? Patterson, M.S. and Harris, S. (2009), The relationship between reviewers’ quality-scores and number of citations for papers published in the journal Physics in Medicine and Biology from 2003-2005. Scientometrics, 80 (2), 343-349.

Full Text: 2009\Scientometrics80, 343.pdf

Abstract: For each of the years 2003, 2004, and 2005 the number of citations for individual papers published in Physics in Medicine and Biology was compared to the mean quality-score assigned to the manuscript by two independent experts as part of the normal peer review process. A low but statistically significant correlation was found between citations and quality score (1 best to 5 worst) for every year: 2003: -0.227 (p < 0.001), 2004: -0.238 (p < 0.001), 2005: -0.154 (p < 0.01). Papers in the highest quality category (approximately 10 per cent of those published) were cited about twice as often as the average for all papers. Data were also examined retrospectively by dividing the papers published in each year into five citation quintiles. A paper of the highest quality is about ten times more likely to be found in the most cited quintile than in the least cited quintile. By making the assumption that the mean number of citations per paper is a reasonable surrogate for the impact factor, it was also shown that the impact factor for Physics in Medicine and Biology could be increased substantially by rejecting more papers based on the reviewers’ scores. To accomplish this, however, would require a reduction in the acceptance rate of manuscripts from about 50 per cent to near 10 per cent.

Keywords: Acceptance, Articles, Citation, Citations, Correlation, Impact, Individual, Journal, Peer, Process, Quality, Reduction, Relationship, Review

? Wray, K.B. (2009), The salaries of Italian Renaissance professors. Scientometrics, 80 (2), 351-357.

Full Text: 2009\Scientometrics80, 351.pdf

Abstract: I offer insight into the principles by which the salaries of Italian Renaissance professors were determined. There is a longstanding fascination with the fact that some professors during the Renaissance had extremely high salaries. It has been suggested that at the top of the salary scale were the superstars, professors who could attract many students and raise the prestige of the university. Through an analysis of data on the salaries of professors at Padua in 1422-1423, I argue that much of the differences in salaries can be explained in terms of the stage of career of professors. Those professors who have taught the longest tend to be paid the most. Hence, there is little evidence for the superstar thesis.

Keywords: Analysis, Career, Evidence, Insight, Scale, Students, University

? Liang, L.M. and Rousseau, R. (2009), Bibliometric characteristics of the journal Science: Pre-Koshland, Koshland and post-Koshland period. Scientometrics, 80 (2), 359-372.

Full Text: 2009\Scientometrics80, 359.pdf

Abstract: During the period 1985-1995 Daniel Koshland was Editor-in-Chief of the journal Science. As such he exerted a huge influence on all aspects related to content and lay-out of the journal. This study compares Science’s bibliometric characteristics between three periods: a pre-Koshland (1975-1984) period, the Koshland period (1985-1995) and the post-Koshland period (1996-2006). The distributions of document types, the country/territory and institutional distribution of authors, co-authorship data and disciplinary impact measured by subject categories of citations are studied. These bibliometric characteristics unveil some of the changes the journal went through under the leadership of Daniel Koshland.

Keywords: Bibliometric, Categories, Changes, Citations, Distribution, Impact, Influence, Journal, Leadership, Rhythm

? Osca-Lluch, J., Velasco, E., Lopez, M. and Haba, J. (2009), Co-authorship and citation networks in Spanish history of science research. Scientometrics,