Personal Research Database

Full Text: 2009\Scientometrics78, 505.pdf

Abstract: A socio-economic networking (SEN) of the public funded basic research (PFBR) in the Japan Atomic Energy Research Institute (JAERI) was studied by the bibliometric method combined with the international nuclear database INIS. As PFBR, Material Science (MS) research of JAERI is chosen. The appropriateness of the present bibliometric method is discussed. The authors believe that this method is applicable to studying the socio-economic effect on PFBR. The shortcoming of it is, however, the use of the inevitable usage of biased EBRF (ranked keywords), accompanied with the feeling of unfairness. The authors confirm that the S-matrix has a potential capability to show the quantitative magnitude of co-operation among research institutions avoiding significant bias.

Keywords: Authors, Bias, Bibliometric, Cooperation, Database, Effects, Energy, Institutions, International, Japan, MAR, MS, Potential, Public, Research, Science, Socioeconomic

? Skilton, P.F. (2009), Does the human capital of teams of natural science authors predict citation frequency? Scientometrics, 78 (3), 525-542.

Full Text: 2009\Scientometrics78, 525.pdf

Abstract: This study examines the relationship between citation frequency and the human capital of teams of authors. Analysis of a random sample of articles published in top natural science journals shows that articles co-authored by teams including frequently cited scholars and teams whose members have diverse disciplinary backgrounds have greater citation frequency. The institutional prestige, the percentage of team members at U. S. institutions and the variety of disciplines represented by team member backgrounds do not influence citation frequency. The study introduces a method for evaluating the extent of multidisciplinarity that accounts for the relatedness of disciplines or authors.

Keywords: Articles, Authors, Citation, Citation Frequency, Human, Human Capital, Impact, Index, Influence, Institutions, Interdisciplinarity, Journals, MAR, Model, Multidisciplinarity, Natural, Patterns, Random Sample, Research Collaboration, Science, Science Journals, Scientific Teams, U, Universities

? Takeda, Y. and Kajikawa, Y. (2009), Optics: A bibliometric approach to detect emerging research domains and intellectual bases. Scientometrics, 78 (3), 543-558.

Full Text: 2009\Scientometrics78, 543.pdf

Abstract: Optics is an important research domain both for its scientific interest and industrial applications. In this paper, we constructed a citation network of papers and performed topological clustering method to investigate the structure of research and to detect emerging research domains in optics. We found that optics consists of main five subclusters, optical communication, quantum optics, optical data processing, optical analysis and lasers. Then, we further investigated the detailed subcluster structures in it. By doing so, we detected some emerging research domains such as nonlinearity in photonic crystal fiber, broad band parametric amplifier, and in-vivo imaging techniques. We also discuss the distinction between research front and intellectual base in optics.

Keywords: Analysis, Approach, Bibliometric, Citation, Citation Network, Clustering, Communication, Companies, Constructed, Data, Growth, Imaging, Indicators, MAR, Network, Networks, Optics, Papers, Parametric, Photonic Crystal, Research, Research Front, Research Fronts, Science, Semiconductor Literature, Structure, Techniques, Technology, Tracking, Visualization

? Schubert, A. (2009), Using the h-index for assessing single publications. Scientometrics, 78 (3), 559-565.

Full Text: 2009\Scientometrics78, 559.pdf

Abstract: It is shown that a Hirsch-type index can be used for assessing single highly cited publications by calculating the h-index of the set of papers citing the work in question. This index measures not only the direct impact of a publication but also its indirect influence through the citing papers.

Keywords: Assessing, Citations, h Index, h-Index, Hirsch-Type Indexes, Impact, Index, Indicators, Influence, Journals, MAR, Papers, Publication, Publications, Work

? Bar-Ilan, J. and Peritz, B. (2009), The lifespan of “informetrics” on the Web: An eight year study (1998-2006). Scientometrics, 79 (1), 7-25.

Full Text: 2009\Scientometrics79, 7.pdf

Abstract: The World Wide Web is growing at an enormous speed, and has become an indispensable source for information and research. New pages are constantly added, but there are additional processes as well: pages are moved or removed and/or their content changes. We report here the results of an eight year long project started in 1998, when multiple search engines were used to identify a set of pages containing the term informetrics. Data collection was repeated once a year for the last eight years (with the exception of 2000 and 2001) using both search engines and revisiting previously identified pages. The results show that the number of pages grew from 866 in 1998 to 28,914 in 2006 - a 33-fold growth. Besides the obvious growth of the topic on the Web, we observed both decay (pages disappearing from the Web) and modification. Even though most of the pages from 1998 either disappeared or ceased to contain the term informetrics, 165 pages (19.1%) still exist in 2006 and contain the search term. We followed the “fate” of these 165 pages: characterized the publishers, the contents and the changes that occurred the whole period. In recent years e-print servers and publishers’ sites became sources of large number of pages related to informetrics. Longitudinal studies following the evolution of a topic on the Web are very important, since they provide insights about content and the underlying Web processes.

Keywords: Changes, Collection, Content, Decay, Evolution, Growth, Information, Informetrics, Lifespan, Link Rot, Modification, Pages, Persistence, References, Research, Search, Search Engines, Source, Sources, Speed, Term, World Wide Web

? Boyack, K.W. (2009), Using detailed maps of science to identify potential collaborations. Scientometrics, 79 (1), 27-44.

Full Text: 2009\Scientometrics79, 27.pdf

Abstract: Research on the effects of collaboration in scientific research has been increasing in recent years. A variety of studies have been done at the institution and country level, many with an eye toward policy implications. However, the question of how to identify the most fruitful targets for future collaboration in high-performing areas of science has not been addressed. This paper presents a method for identifying targets for future collaboration between two institutions. The utility of the method is shown in two different applications: identifying specific potential collaborations at the author level between two institutions, and generating an index that can be used for strategic planning purposes. Identification of these potential collaborations is based on finding authors that belong to the same small paper-level community (or cluster of papers), using a map of science and technology containing nearly 1 million papers organized into 117,435 communities. The map used here is also unique in that it is the first map to combine the ISI Proceedings database with the Science and Social Science Indexes at the paper level.

Keywords: Authors, Cluster, Collaboration, Collaborations, Communities, Community, Country, Database, Effects, First, Index, Institution, Institutions, ISI, Papers, Planning, Policy, Potential, Research, Science, Science and Technology, Scientific Research, Small, Strategic, Strategic Planning, Technology, Utility

? Boyack, K.W., Borner, K. and Klavans, R. (2009), Mapping the structure and evolution of chemistry research. Scientometrics, 79 (1), 45-60.

Full Text: 2009\Scientometrics79, 45.pdf

Abstract: How does our collective scholarly knowledge grow over time? What major areas of science exist and how are they interlinked? Which areas are major knowledge producers, which ones are consumers? Computational scientometrics - the application of bibliometric/scientometric methods to large-scale scholarly datasets - and the communication of results via maps of science might help us answer these questions. This paper represents the results of a prototype study that aims to map the structure and evolution of chemistry research over a 30 year time frame. Information from the combined Science (SCIE) and Social Science (SSCI) Citations Indexes from 2002 was used to generate a disciplinary map of 7,227 journals and 671 journal clusters. Clusters relevant to study the structure and evolution of chemistry were identified using JCR categories and were further clustered into 14 disciplines. The changing scientific composition of these 14 disciplines and their knowledge exchange via citation linkages was computed. Major changes on the dominance, influence, and role of Chemistry, Biology, Biochemistry, and Bioengineering over these 30 years are discussed. The paper concludes with suggestions for future work.

Keywords: Application, Changes, Chemistry, Citation, Citations, Collective, Communication, Composition, Consumers, Dominance, Evolution, Exchange, Influence, Journal, Journal Cocitation Analysis, Journals, Knowledge, Maps, Methods, Research, Role, Science, Science-Citation-Index, Scientometrics, Ssci, Structure, Time, Work

? Braam, R. (2009), Everything about genes: Some results on the dynamics of genomics research. Scientometrics, 79 (1), 61-77.

Full Text: 2009\Scientometrics79, 61.pdf

Abstract: In this study some novel indicators and publication data resources are explored to study the dynamics of genomics research at three different levels: worldwide, national and at individual Research Centers. Our results indicate that the growth of genomics research worldwide seems to be stabilizing, whereas genomics research in the Netherlands aims at getting ‘ready for the next step’. As we find differences in research dynamics at the level of individual Research Centers, governmental support in a ‘next step’ could take these differences into account. For this purpose, we introduce a general model of research dynamics and timing of research management, building on ideas of Price and Bonaccorsi. Based on this model a framework is presented to discuss steering options in relation to research dynamics. We apply this framework to Research Centers of the Netherlands Genomics Initiative (NGI) and discuss findings.

Keywords: Building, Data, Dynamics, Framework, General, Genomics, Growth, Indicators, Management, Model, National, Netherlands, Options, Publication, Purpose, Research, Resources, Support, The Netherlands, Timing

? Burrell, Q.L. (2009), On Hirsch’s h, Egghe’s g and Kosmulski’s h(2). Scientometrics, 79 (1), 79-91.

Full Text: 2009\Scientometrics79, 79.pdf

Abstract: In recent issues of the ISSI Newsletter, Egghe [2006a] proposed the g-index and Kosmulski [2006] the h(2)-index, both claimed to be improvements on the original h-index proposed by Hirsch [2005]. The aim of this paper is to investigate the inter-relationships between these measures and also their time dependence using the stochastic publication/citation model proposed by Burrell [1992, 2007a]. We also make some tentative suggestions regarding the relative merits of these three proposed measures.

Keywords: Dependence, G Index, G-Index, h Index, h-Index, Hirsch, Index, Model, Scientists, Stochastic, Time, Time Dependence

? Coccia, M. (2009), Research performance and bureaucracy within public research labs. Scientometrics, 79 (1), 93-107.

Full Text: 2009\Scientometrics79, 93.pdf

Abstract: The purpose of this paper is to analyse the relationship between bureaucracy and research performance within Public Research Bodies. The research methodology is applied on a sample of 100 interviewed belonging to 11 institutes of National Research Council of Italy. The main finding is that within Italian Public Research Council there is academic bureaucratization that reduces performance and efficiency of institutes. In fact, institutes have two organizational behaviours: high bureaucracy - low performance and low bureaucracy - high performance. These bureaucratic tendencies are also present in other countries and particularly: the public research labs have an academic bureaucratization because of administrative burden necessary to the governance of the structures, whereas the universities have mainly an administrative bureaucratization generated by the increase of administrative staff in comparison with researchers and faculty.

Keywords: Academic, Burden, Bureaucracy, Comparison, Efficiency, Faculty, Governance, Italy, Methodology, Organizational, Performance, Public, Purpose, Red Tape, Relationship, Research, Research Methodology, Research Performance, Universities

? Glänzel, W., Janssens, F. and Thijs, B. (2009), A comparative analysis of publication activity and citation impact based on the core literature in bioinformatics. Scientometrics, 79 (1), 109-129.

Full Text: 2009\Scientometrics79, 109.pdf

Abstract: A novel subject-delineation strategy has been developed for the retrieval of the core literature in bioinformatics. The strategy combines textual components with bibliometric, citation-based techniques. This bibliometrics-aided search strategy is applied to the 1980-2004 annual volumes of the Web of Science. Retrieved literature has undergone a structural as well as quantitative analysis. Patterns of national publication activity, citation impact and international collaboration are analysed for the 1990s and the new millennium.

Keywords: Activity, Analysis, Bibliometric, Citation, Collaboration, Developed, Fields, Impact, International, Literature, National, Publication, Publication Activity, Quantitative Analysis, Search, Search Strategy, Strategy, Techniques, Web of Science, World

? Gomes, I., Bordons, M., Fernandez, M.T. and Morillo, F. (2009), Structure and research performance of Spanish universities. Scientometrics, 79 (1), 131-146.

Full Text: 2009\Scientometrics79, 131.pdf

Abstract: The aim of this paper is to describe Spanish universities by means of structural, input and output indicators, to explore the relationship between those indicators and to analyse university behaviour in different dimensions. Seniority of the universities and environmental conditions are taken into account, together with input and output indicators, as well as others related to the networks and links established. Our results will contribute to the knowledge of the university research system in Spain, producing data that could be useful for research management at the institutional, regional and national level.

Keywords: Behaviour, Data, Environmental, Indicators, Institutional, Knowledge, Management, National, Networks, Performance, Regional, Relationship, Research, Research Performance, Spain, Spanish, Universities, University

? Harnad, S. (2009), Open access scientometrics and the UK Research Assessment Exercise. Scientometrics, 79 (1), 147-156.

Full Text: 2009\Scientometrics79, 147.pdf

Abstract: Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Assessment Exercise (RAE) - together with the growing movement toward making the full-texts of research articles freely available on the web - offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, etc. can all be tested and validated jointly, discipline by discipline, against their RAE panel rankings in the forthcoming parallel panel-based and metric RAE in 2008. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster.

Keywords: Access, Age, Analysis, Citation, Citations, Co-Authorship, Coauthorship, Correlation, Database, Exercise, Factors, Funding, Growth, h Index, h-Index, Impact, Impact Factors, Incentives, Joint, Journal, Journal Impact, Journal Impact Factors, Latency, Movement, Multiple Regression, Performance, Predictors, Rae, Rankings, Regression, Regression Analysis, Research, Research Performance, Scientometric, Scientometrics, Student, UK, Wealth, Web, Weights

? Holmberg, K. and Thelwall, M. (2009), Local government web sites in Finland: A geographic and webometric analysis. Scientometrics, 79 (1), 157-169.

Full Text: 2009\Scientometrics79, 157.pdf

Abstract: It has been shown that information collected from and about links between web pages and web sites can reflect real world phenomena and relationships between the organizations they represent. Yet, government linking has not been extensively studied from a webometric point of view. The aim of this study was to increase the knowledge of governmental interlinking and to shed some light on the possible real world phenomena it may indicate. We show that interlinking between local government bodies in Finland follows a strong geographic, or rather a geopolitical pattern and that governmental interlinking is mostly motivated by official cooperation that geographic adjacency has made possible.

Keywords: Analysis, Bodies, Business Information, Cooperation, Finland, Framework, Government, Impact Factors, Information, Interlinking, Knowledge, Links, Local, Local Government, Motivations, Organizations, Pattern, Relationships, Web, World

? Hornbostel, S., Bohmer, S., Klingsporn, B., Neufeld, J. and von Ins, M. (2009), Funding of young scientist and scientific excellence. Scientometrics, 79 (1), 171-190.

Full Text: 2009\Scientometrics79, 171.pdf

Abstract: The German Research Foundation’s (DFG) Emmy Noether Programme aims to fund excellent young researchers in the postdoctoral phase and, in particular, to open up an alternative to the traditional route to professorial qualification via the Habilitation (venia legendi). This paper seeks to evaluate this funding programme with a combination of methods made up of questionnaires, interviews, appraisals of the reviews, and bibliometric analyses. The key success criteria in this respect are the frequency of professorial appointments plus excellent research performance demonstrated in the form of publications. Up to now, such postdoc programme evaluations have been conducted only scarcely. In professional terms, approved applicants are actually clearly better placed. The personal career satisfaction level is also higher among funding recipients. Concerning publications and citations, some minor performance differences could be identified between approved and rejected applicants. Nevertheless, we can confirm that, on average, the reviewers indeed selected the slightly better performers from a relatively homogenous group of very high-performing applicants. However, a comparison between approved and rejected applicants did not show that participation in the programme had decisively influenced research performance in the examined fields of medicine and physics.

Keywords: Alternative, Analyses, Bibliometric, Bibliometric Analyses, Career Satisfaction, Citations, Comparison, Criteria, Decisions, DFG, Excellence, Funding, Group, Interviews, Medicine, Methods, Minor, Open, Participation, Performance, Predictive-Validity, Professional, Publications, Questionnaires, Research, Research Performance, Respect, Reviews, Route, Satisfaction, Science, Success, Young

? Iribarren-Maestro, I., Lascurain-Sanchez, M. and Sanz-Casado, E. (2009), Are multi-authorship and visibility related? Study of ten research areas at Carlos III University of Madrid. Scientometrics, 79 (1), 191-200.

Full Text: 2009\Scientometrics79, 191.pdf

Abstract: Opinions in the literature on the possible relationship between co-authorship and number of citations vary. This paper contributes to the debate with a further analysis of the subject, taking account of the number and quality of citations found for multi-(author, institution, country) and single-authored papers. The study is based on the scientific production of ten Carlos III University of Madrid departmental areas between 1997 and 2003 as reflected in the ISI Web of Science, and the number of times the respective papers were cited between 1997 and 2004. Univariate multifactorial analysis of variance (ANOVA) was used to verify the relationship between multi-authorship and visibility. The correlation between multi-institutional and multi-national authorship and the quartile of the citing journals was analyzed with correspondence analysis. The results show that while multi-institutional and multi-national authorship raise the number of citations, co-authorship and number of citations are unrelated. Correspondence analysis failed to show any correlation between the quartile of the citing journal and multi-institutional or multinational authorship, but did reveal a relationship between citing journal quartile and departmental area.

Keywords: Analysis, Anova, Authorship, Citations, Co-Authorship, Coauthorship, Correlation, Correspondence Analysis, Country, Impact, Institution, ISI, ISI Web of Science, Journal, Journals, Literature, Multiauthored Papers, Multinational, Papers, Production, Quality, Quality of, Relationship, Research, Scientific Collaboration, Scientific Production, Single, Visibility, Web of Science

? Jimenez-Contreras, E., Torres-Salinas, D., Moreno, R.B., Banos, R.R. and Lopez-Cozar, E.D. (2009), Response Surface Methodology and its application in evaluating scientific activity. Scientometrics, 79 (1), 201-218.

Full Text: 2009\Scientometrics79, 201.pdf

Abstract: The possibilities of the Response Surface Methodology (RSM) has been explored within the ambit of Scientific Activity Analysis. The case of the system “Departments of the Area of Health Sciences of the University of Navarre (Spain)” has been studied in relation to the system “Scientific Community in the Health Sciences”, from the perspective of input/output models (factors/response). It is concluded that the RSM reveals the causal relationships between factors and responses through the construction of polynomial mathematical models. Similarly, quasiexperimental designs are proposed, these permitting scientific activity to be analysed with minimum effort and cost and high accuracy.

Keywords: Accuracy, Activity, Application, Community, Construction, Cost, Effort, Factors, Mathematical Models, Minimum, Models, Relationships

? La Rowe, G., Ambre, S., Burgoon, J., Ke, W. and Borner, K. (2009), The Scholarly Database and its utility for scientometrics research. Scientometrics, 79 (2), 219-234.

Full Text: 2009\Scientometrics79, 219.pdf

Abstract: The Scholarly Database aims to serve researchers and practitioners interested in the analysis, modelling, and visualization of large-scale data sets. A specific focus of this database is to support macro-evolutionary studies of science and to communicate findings via knowledge-domain visualizations. Currently, the database provides access to about 18 million publications, patents, and grants. About 90% of the publications are available in full text. Except for some datasets with restricted access conditions, the data can be retrieved in raw or pre-processed formats using either a web-based or a relational database client. This paper motivates the need for the database from the perspective of bibliometric/scientometric research. It explains the database design, setup, etc., and reports the temporal, geographical, and topic coverage of data sets currently served via the database. Planned work and the potential for this database to become a global testbed for information science research are discussed at the end of the paper.

Keywords: Access, Analysis, Coverage, Data, Database, Design, Information, Information Science, Knowledge Domains, Modelling, Patents, Potential, Practitioners, Publications, Relational Database, Research, Science, Science Research, Scientometrics, Support, Temporal, Utility, Visualization, Work

? Liu, Y.X. and Rousseau, R. (2009), Properties of Hirsch-type indices: the case of library classification categories. Scientometrics,