Personal Research Database

Full Text: 2010\Scientometrics82, 647.pdf

Abstract: In advanced methods of delineation and mapping of scientific fields, hybrid methods open a promising path to the capitalisation of advantages of approaches based on words and citations. One way to validate the hybrid approaches is to work in cooperation with experts of the fields under scrutiny. We report here an experiment in the field of genomics, where a corpus of documents has been built by a hybrid citation-lexical method, and then clustered into research themes. Experts of the field were associated in the various stages of the process: lexical queries for building the initial set of documents, the seed, citation-based extension aiming at reducing silence, final clustering to identify noise and allow discussion on border areas. The analysis of experts’ advices show a high level of validation of the process, which combines a high-precision and low-recall seed, obtained by journal and lexical queries, and a citation-based extension enhancing the recall. This findings on the genomics field suggest that hybrid methods can efficiently retrieve a corpus of relevant literature, even in complex and emerging fields.

Keywords: Bibliographic Coupling, Bibliometrics, Citation Methods, Citations, Clustering, Complex, Delimitation, Field Delineation, Genomics, Information Retrieval, Interaction, Journal, Literature, Mapping, Methods, Nanosciences, Noise, Recall, Research, Science Mapping, Validation

? Roche, I., Besagni, D., Francois, C., Horlesberger, M. and Schiebel, E. (2010), Identification and characterisation of technological topics in the field of Molecular Biology. Scientometrics, 82 (3), 663-676.

Full Text: 2010\Scientometrics82, 663.pdf

Abstract: Following up the European project PromTech the aim of which was to detect emerging technologies by studying the scientific literature, we chose one field, Molecular Biology, to identify and characterize emerging topics within that domain. We combined two analytical approaches: the first one introduces a model of the terminological evolution of the field based on bibliometric indicators and the second one operates a diachronic clustering analysis. Our objective is to bring answers to questions such as: Which technological aspects can be detected? Which of them are already established and which of them are new? How are the topics linked to each other?

Keywords: Bibliometric, Bibliometric Indicators, Characterisation, Clustering, Diachronic Cluster Analysis, Diffusion Model, Emerging Technologies, Evolution, Identification, Indicators, Literature, Model, Scientific Literature, Terminology Evolution, Topics

? Sun, Y. and Negishi, M. (2010), Measuring the relationships among university, industry and other sectors in Japan’s national innovation system: A comparison of new approaches with mutual information indicators. Scientometrics, 82 (3), 677-685.

Full Text: 2010\Scientometrics82, 677.pdf

Abstract: Co-authored publications across sectors have been used as indicators of the triple helix model and more generally for the study of science-technology relations. However, how to measure the relationships among the three or more sectors is a technically difficult issue. Using mutual information as an indicator has proved to be effective, but it is not widely used. In this paper, we introduced phi coefficients and partial correlation as conventional indicators to measure the relationships among sectors on the basis of Japanese publication data in the ISI-databases. We also proposed a new approach of graphical modeling based on partial correlation for studying university-industry-government relationships and relationships with other sectors. The conventional indicators give results that are consistent with mutual information, which shows that collaborations among the three national sectors (U, I, G) are getting weaker and that members of these sectors tend to collaborate much more with foreign researchers. It is also shown that universities used to play the central role in the national publication system and acted as a bridge between national sectors and foreign researchers. However, since 2000, the situation has been changing. The center of the Japanese research network is becoming more “foreign” oriented.

Keywords: Co-Authorship, Comparison, Dynamics, Government Relations, Graphical Modeling, Indicators, Innovation, Innovation System, Model, Modeling, Mutual Information, Partial Correlation Coefficient, Publication, Publications, Research, Researchers, System, Triple Helix, Triple-Helix, Universities, University

? Zhang, L., Janssens, F., Liang, L.M. and Glänzel, W. (2010), Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research. Scientometrics, 82 (3), 687-706.

Full Text: 2010\Scientometrics82, 687.pdf

Abstract: The objective of this study is to use a clustering algorithm based on journal cross-citation to validate and to improve the journal-based subject classification schemes. The cognitive structure based on the clustering is visualized by the journal cross-citation network and three kinds of representative journals in each cluster among the communication network have been detected and analyzed. As an existing reference system the 15-field subject classification by Glänzel and Schubert (Scientometrics 56:55-73, 2003) has been compared with the clustering structure.

Keywords: Bibliometric, Bibliometric Research, Classification, Cluster, Cluster Analysis, Clustering, Cocitation Analysis, Journal, Journal Cross-Citation, Journals, Mapping of Science, Networks, Research, Science, Scientific Journals, Scientometrics, Subject Classification, System, Validation

? Abbasi, A., Altmann, J. and Hwang, J. (2010), Evaluating scholars based on their academic collaboration activities: Two indices, the RC-index and the CC-index, for quantifying collaboration activities of researchers and scientific communities. Scientometrics, 83 (1), 1-13.

Full Text: 2010\Scientometrics83, 1.pdf

Abstract: Although there are many studies for quantifying the academic performance of researchers, such as measuring the scientific performance based on the number of publications, there are no studies about quantifying the collaboration activities of researchers. This study addresses this shortcoming. Based on three measures, namely the collaboration network structure of researchers, the number of collaborations with other researchers, and the productivity index of co-authors, two new indices, the RC-Index and CC-Index, are proposed for quantifying the collaboration activities of researchers and scientific communities. After applying these indices on a data set generated from publication lists of five schools of information systems, this study concludes with a discussion of the shortcomings and advantages of these indices.

Keywords: Co-Authorships, Collaboration, Collaboration Activities, Collaboration Evaluation, Collaboration Measures, Collaborative Networks, Economics, Empirical Data Analysis, Indices, Individual and Community Productivity, Information Systems, Ireland, Networks, Number of Publications, Productivity, Productivity Index, Publication, Publications, Research Output, Researchers, Scientific Performance, Social Network Analysis, Successive h-Indexes

? Upham, S.P. and Small, H. (2010), Emerging research fronts in science and technology: Patterns of new knowledge development. Scientometrics, 83 (1), 15-38.

Full Text: 2010\Scientometrics83, 15.pdf

Abstract: Research fronts represent the most dynamic areas of science and technology and the areas that attract the most scientific interest. We construct a methodology to identify these fronts, and we use quantitative and qualitative methodology to analyze and describe them. Our methodology is able to identify these fronts as they form-with potential use by firms, venture capitalists, researchers, and governments looking to identify emerging high-impact technologies. We also examine how science and technology absorbs the knowledge developed in these fronts and find that fronts which maximize impact have very different characteristics than fronts which maximize growth, with consequences for the way science develops over time.

Keywords: Building-Blocks, Characteristics, Clusters, Co-Citation, Cocitation Analysis, Emerging Science, Field-Effect Transistors, Gamma-Secretase, Growth, Impact, Innovation, Intellectual Structure, Interdisciplinary Research, Knowledge, Organic Electronics, Quantitative, Research, Research Fronts, Researchers, Science, Science and Technology, Structural Aspects, Technology, Thin-Film Transistors

? Sotudeh, H. (2010), Are Iranian scientists recognized as their productivity enhances? A comparison of Iran’s impact to global norms in different subfields of Science Citation Index during 2002-2005. Scientometrics, 83 (1), 39-54.

Full Text: 2010\Scientometrics83, 39.pdf

Abstract: Witnessing a substantial growth rate in its scientific production, Iran is considered as one of the recently rising stars in scientific contribution scene. However, its impact in science progress is widely unknown, especially at global level. Studying Iran’s scholarly publications and recognition in SCI, the present communication tries to clarify the country’s science system performance using regression analyses and then to compare its performance to that of the world, using Relative Citation Rate (RCR) and Relative Subfield Citedness (RW). The results of the regression analyses reveal that although Iran displays considerable weaknesses in its performance, it is increasingly recognized as its outputs grow. According to the RCR values, Iran performed at/above the global level in 21 subfields. However, the RW values show that the country’s performance is above the global level in only two subfields. Although Iran is very far from an ideal situation, these evidences can be considered as heralds of a successful movement towards a wealthy scientific future.

Keywords: Citation, Citation Analysis, Citation Performance, Comparison, Contribution, Global, Growth, Impact, Iran, Output, Productivity, Publications, Regression, Scholarly Publications, SCI, Science, Science Citation Index, Scientific Production, System

? Ribeiro, L.C., Ruiz, R.M., Bernardes, A.T. and Albuquerque, E.M. (2010), Matrices of science and technology interactions and patterns of structured growth: implications for development. Scientometrics, 83 (1), 55-75.

Full Text: 2010\Scientometrics83, 55.pdf

Abstract: Scientific and other non-patent references (NPRs) in patents are important tools to analyze interactions between science and technology. This paper organizes a database with 514,894 USPTO patents granted globally in 1974, 1982, 1990, 1998 and 2006. There are 165,762 patents with at least one reference to science and engineering (S&E) literature, from a total of 1,375,503 references. Through a lexical analysis, 71.1% of this S&E literature is classified by S&E fields. These data serve as the basis for the elaboration of global and national 3-dimensional matrices (technological domains, S&E fields and number of references). Three indicators are proposed to analyze these matrices, allowing us to identify patterns of structured growth that differentiate developed and non-developed countries. This differentiation informs suggestions for public policies for development, emphasizing the need for an articulation between the industrial and technological dimension and scientific side. The intertwinement of these two dimensions is a key component of developmental policies for the twenty-first century.

Keywords: Database, Global, Growth, Indicators, Innovation, Linkages, Literature, Patents, Public Research, Science, Science and Technology, Science and Technology Linkages, Stages of Economic Development, Systems of Innovation, Technology, Tools, USPTO

? Yang, C.H., Park, H.W. and Heo, J. (2010), A network analysis of interdisciplinary research relationships: The Korean government’s R&D grant program. Scientometrics, 83 (1), 77-92.

Full Text: 2010\Scientometrics83, 77.pdf

Abstract: This study examines network topologies of interdisciplinary research relationships in science and technology (S&T) and investigates the relational linkages between the interdisciplinary relations and the quality of research performance. A network analysis was performed to evaluate the General Research Grant (GRG) program, an interdisciplinary research funding program of the Korea Science and Engineering Foundation (KOSEF), the dataset covered the 2002-2004 period. The analytical results reveal the hidden network structure of interdisciplinary research relationships and demonstrate that the quality of research performance might be enhanced not only by interdependent pressures placed on various research fields but also by accumulated research capabilities that are relatively difficult to access and reproduce by other research fields.

Keywords: Centrality, Citation Analysis, Coauthorship, Collaboration, Disciplinary, Funding, Government’S R&D Grant Program, Impact Factor, Indicators, Interdisciplinary, Interdisciplinary Research, Interdisciplinary Research Relationships, Korea, Network Analysis, Network Topology, Patterns, Pressures, R&D, Research, Research Funding, Research Performance, Science, Science and Technology, Scientific Journals, Technology

? Borrego, A., Barrios, M., Villarroya, A. and Olle, C. (2010), Scientific output and impact of postdoctoral scientists: A gender perspective. Scientometrics, 83 (1), 93-101.

Full Text: 2010\Scientometrics83, 93.pdf

Abstract: This paper analyses the scientific output and impact of 731 Ph.D. holders who were awarded their doctorate at Spanish universities between 1990 and 2002. The aim was to identify any differences in the amount of scientific output and the impact of publications, in terms of citations, according to gender. The analysis revealed no significant differences in the amount of scientific output between males and females. However, the proportion of female Ph.D. holders with no postdoctoral output was significantly higher than that of their male counterparts, and the median number of papers published after Ph.D. completion was also lower among women. As regards pre- and postdoctoral research, the data showed that early scientific output may be a good predictor of subsequent productivity in both gender groups. The results also indicated that articles by female Ph.D. holders were cited significantly more often, even when self-citations were excluded.

Keywords: Articles, Citations, Family, Gender Equality, Groups, Impact, Ph.D. Holders, Productivity, Publications, Research, Research Productivity, Science, Scientific Impact, Scientific Output, Self-Citations, Sex-Differences, Spain, Spanish Universities, Universities

? Vanecek, J., Fatun, M. and Albrecht, V. (2010), Bibliometric evaluation of the FP-5 and FP-6 results in the Czech Republic. Scientometrics, 83 (1), 103-114.

Full Text: 2010\Scientometrics83, 103.pdf

Abstract: Our study evaluates results and impacts of the Framework Programs (FP) 5 and 6 in the Czech Republic. Publications resulting from the FP projects had 42% higher mean citation rate and 77% more EU-25 collaborations than the Czech standards. Teams participating in the FP are better-than-average, because citation rate of all their papers is 21% higher than the Czech standards. The most striking finding is the marked influence of FP on research direction. After the project start, the participating teams published papers in ten new fields in which they did not publish before the project. In 45 other fields, more than 200% increase of papers was observed.

Keywords: Bibliometric, Bibliometric Evaluation, Citation, Citation Rate, EU Framework Program, Evaluation, Fields, International Collaborations, Publications, Research, Science, Standards

? Yan, E.J., Ding, Y. and Zhu, Q.H. (2010), Mapping library and information science in China: A coauthorship network analysis. Scientometrics, 83 (1), 115-131.

Full Text: 2010\Scientometrics83, 115.pdf

Abstract: This paper aims to identify the collaboration pattern and network structure of the coauthorship network of library and information science (LIS) in China. Using data from 18 core source LIS journals in China covering 6 years, we construct the LIS coauthorship network. We analyze the network from both macro and micro perspectives and identify some key features of this network: this network is a small-world network, and follows the scale-free character. In the micro-level, we calculate each author’s centrality values and compare them with citation counts. We find that centrality rankings are highly correlated with citation rankings. We also discuss the limitation of current centrality measures for coauthorship network analysis.

Keywords: Betweenness Centrality, China, Citation, Citation Counts, Citations, Co-Authorship Networks, Coauthorship Network, Collaboration, Community, Complex Network, Complex Networks, Core, Graph, Information Science, Journals, Library and Information Science, LIS, Network Analysis, Rankings, Science, Scientific Collaboration, Scientific Collaboration Networks, Social Network

? Martins, W.S., Goncalves, M.A., Laender, A.H.F. and Ziviani, N. (2010), Assessing the quality of scientific conferences based on bibliographic citations. Scientometrics, 83 (1), 133-155.

Full Text: 2010\Scientometrics83, 133.pdf

Abstract: Assessing the quality of scientific conferences is an important and useful service that can be provided by digital libraries and similar systems. This is specially true for fields such as Computer Science and Electric Engineering, where conference publications are crucial. However, the majority of the existing quality metrics, particularly those relying on bibliographic citations, has been proposed for measuring the quality of journals. In this article we conduct a study about the relative performance of existing journal metrics in assessing the quality of scientific conferences. More importantly, departing from a deep analysis of the deficiencies of these metrics, we propose a new set of quality metrics especially designed to capture intrinsic and important aspects related to conferences, such as longevity, popularity, prestige, and periodicity. To demonstrate the effectiveness of the proposed metrics, we have conducted two sets of experiments that contrast their results against a “gold standard” produced by a large group of specialists. Our metrics obtained gains of more than 12% when compared to the most consistent journal quality metric and up to 58% when compared to standard metrics such as Thomson’s Impact Factor.

Keywords: Bibliometrics, Citation Analysis, Citations, Classification, Digital Libraries, Impact, Impact Factor, Journal, Journals, Metrics, Publications, Ranking, Science

? Lang, P., Gouveia, F.C. and Leta, J. (2010), Site co-link analysis applied to small networks: A new methodological approach. Scientometrics, 83 (1), 157-166.

Full Text: 2010\Scientometrics83, 157.pdf

Abstract: The method of co-link was proposed in 1996 and since then it has been applied in many Webometric studies. Its definition refers to “page co-link analysis”, as links are provided by URLs or pages. This paper presents a new methodological approach, a “site co-link analysis”, to investigate relations in small networks. The Oswaldo Cruz Foundation institutes were used as a case study. The results indicate that the number of co-links provided by sites led to an increase of 133% in the sample analyzed. In a cluster analysis, three clusters were formed mainly for thematic reasons and four institutes remained isolated.

Keywords: Academic Web, Cluster, Cluster Analysis, Clustering Analysis, Co-Link Analysis, Framework, Internet, Networks, Oswaldo Cruz Foundation, Webometrics

? Jonkers, K. (2010), Models and orphans, concentration of the plant molecular life science research agenda. Scientometrics, 83 (1), 167-179.

Full Text: 2010\Scientometrics83, 167.pdf

Abstract: This article explores the concentration in the global plant molecular life science research output. In the past 15 years, especially the share of articles which refer to the model organism A. thaliana has increased rapidly. Citation analyses show an even greater rise in the importance of this organism. Attempts are discussed to come to a scientometric definition of model organisms. For this purpose a comparison is made with applied microbiology. However, few shared scientometric characteristics were found which could help characterise model organisms. A distinction between major economic organisms and model organisms will therefore continue to rely on qualitative data.

Keywords: Arabidopsis-Thaliana, Articles, Biotechnology, Characteristics, Citation, Comparison, Concentration, Crops, Economic, Genomics, Global, Model, Model Organism, Models, Orphan Crops, Plant Science, Research, Research Output, Science

? Schubert, T. and Sooryamoorthy, R. (2010), Can the centre-periphery model explain patterns of international scientific collaboration among threshold and industrialised countries? The case of South Africa and Germany. Scientometrics, 83 (1), 181-203.

Full Text: 2010\Scientometrics83, 181.pdf

Abstract: As scientific collaboration is a phenomenon that is becoming increasingly important, studies on scientific collaboration are numerous. Despite the proliferation of studies on various dimensions of collaboration, there is still a dearth of analyses on the effects, motives and modes of collaboration in the context of developing countries. Adopting Wallerstein’s world-system theory, this paper makes use of bibliometric data in an attempt to understand the pattern of collaboration that emerges between South Africa and Germany. The key argument is that we can expect the collaborative relationship between South Africa and Germany to be one that is shaped by a centre-periphery pattern. The analyses show that a theory of scientific collaboration building on the notion of marginality and centre-periphery can explain many facets of South African-German collaboration, where South Africa is a semi-peripheral region, a centre for the periphery, and a periphery for the centre.

Keywords: Africa, Bibliometric, Bibliometric Data, Centre-Periphery, Co-Authorship, Collaboration, Developing Countries, Germany, Marginality, Model, Publication Patterns, Science, Scientific Collaboration, South Africa, Theory

? Anastasiadis, A.D., de Albuquerque, M.P., de Albuquerque, M.P. and Mussi, D.B. (2010), Tsallis q-exponential describes the distribution of scientific citations-a new characterization of the impact. Scientometrics, 83 (1), 205-218.

Full Text: 2010\Scientometrics83, 205.pdf

Abstract: In this work we have studied the research activity for countries of Europe, Latin America and Africa for all sciences between 1945 and November 2008. All the data are captured from the Web of Science database during this period. The analysis of the experimental data shows that, within a nonextensive thermostatistical formalism, the Tsallis q-exponential distribution N(c) satisfactorily describes Institute of Scientific Information citations. The data which are examined in the present survey can be fitted successfully as a first approach by applying a single curve (namely, N(c) proportional to 1/[1 + (q - 1)c/T](1/q-1) with q similar or equal to 4/3 for all the available citations c, T being an “effective temperature”. The present analysis ultimately suggests that the phenomenon might essentially be one and the same along the entire range of the citation number. Finally, this manuscript provides a new ranking index, via the “effective temperature” T, for the impact level of the research activity in these countries, taking into account the number of the publications and their citations.

Keywords: Africa, Citation, Citations, Complex Systems, Database, Entropic Index, Europe, Impact, Initial Conditions, Journals, Latin America, Model, Nonextensive Entropy, Nonextensive Statistical-Mechanics, Productivity, Publications, Ranking, Research, Research Activity, Science, Sensitivity, System, Web of Science

? Jansen, D., von Gortz, R. and Heidler, R. (2010), Knowledge production and the structure of collaboration networks in two scientific fields. Scientometrics,