National research priorities in a global perspective : a bibliometric analysis

Chawla, A. National research priorities in a global perspective : a bibliometric analysis., 2006 . In International Workshop on Webometrics, Informetrics and Scientometrics & Seventh COLLNET Meeting, Nancy (France), May 10 - 12, 2006. (Unpublished) [Conference paper]


Download (1MB) | Preview

English abstract

This study examines inter-country similarities and differences in the priority accorded to eight macro-fields of science (Clinical medicine, Biomedical research, Biology, Chemistry, Physics, Earth and space sciences, Engineering & technology and Mathematics). This study is based on the contribution of top 30 countries to the mainstream scientific literature indexed by the Institute for Scientific Information (ISI). Obviously, raw counts of publication are confounded by the size of research fields and the size of the countries. Hence an index of research priority was constructed for cross-national comparison... A novel graphic technique, viz. Parallel Coordinates, was used for visualizing the priority profiles of the countries. Cluster analysis and multi-dimensional scaling were used to construct a typology of countries based on similarities of their priority profiles. Implications of this study for science policy are briefly discussed

Item type: Conference paper
Keywords: national research priorities, global perspective, bibliometrics
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
B. Information use and sociology of information
Depositing user: Heather G Morrison
Date deposited: 26 Jun 2006
Last modified: 02 Oct 2014 12:03


Schubert and T. Braun, Relative indicators and relational charts for comparative assessment of publication output and citation impact, Scientometrics, 14, 1986.

A. Inselberg and B. Dimsdale , Parallel coordinates: A tool for visualizing multi-dimensional geometry, Visualization, San Francisco, CA., 1990.

P.S. Nagpaul (2001) Guide to Advanced Data Analysis Using IDAMS Software,\Idams

WinIDAMS, Internatioally developed data analysis and management software package, UNESCO, Paris.

J. HINTZE (2001) NCSS: Number Cruncher Statistical Systems, Kaysville. Utah SPLUS, Insightful Corporation, Seattle, Washington

L. Kaufman, P.J. Rousseuw (1990) Finding Groups in Data: An Introduction to Cluster Analysis, New York: John Wiley & Sons, Inc

P.J. Rousseeuw (1987) Silhouettes: A graphical aid to the interpretation and validation of cluster analysis, Journal of Computational and Applied Mathematics, 20: 53-65

P.S. Nagpaul and S. Bhattacharya, National Pattern of research output and priorities in physics: A bibliometric analysis, In P.S. Nagpaul et al. (Eds) Emerging trends in scientometrics, Allied Publishers, New Delhi (India), 1999.

B.R. Martin and J. Irvine, Assessing basic research: Some partial indicators of radio- astronomy, Research Policy, 12, 1983, 61-90,


Downloads per month over past year

Actions (login required)

View Item View Item