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Multivariate statistical analysis of the bibliographic output from a research institution, in relation to the measures of scientific policy

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Abstract

The publications produced in a medical research institute in a 16 year interval were classified into five categories (scientific papers in the journals covered byCurrent Contents orScience Citation Index, scientific papers in other journals, books and monographs, technical papers, congress and symposia communications) and counted for each year separately. The number of researchers and yearly budgets were also recorded. The data were analysed by contingency table, correlation and factor-analytical methods. It was shown that, upon introducing quantitative minimal criteria for job promotions, the proportion of scientific papers increased. Principal component analysis indicated that the data can be approximately represented as linear combinations of three mutually independent factors. The approach used is recommended for evaluating the production of scientific information in research institutions and for assessing the effects of the measures of scientific policy.

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Simeon, V., Momčilović, B., Kralj, Z. et al. Multivariate statistical analysis of the bibliographic output from a research institution, in relation to the measures of scientific policy. Scientometrics 9, 223–230 (1986). https://doi.org/10.1007/BF02017245

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  • DOI: https://doi.org/10.1007/BF02017245

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