How to analyze percentile citation impact data meaningfully in bibliometrics: The statistical analysis of distributions, percentile rank classes, and top‐cited papers
Identifieur interne : 000196 ( Istex/Checkpoint ); précédent : 000195; suivant : 000197How to analyze percentile citation impact data meaningfully in bibliometrics: The statistical analysis of distributions, percentile rank classes, and top‐cited papers
Auteurs : Lutz Bornmann [Allemagne]Source :
- Journal of the American Society for Information Science and Technology [ 1532-2882 ] ; 2013-03.
Abstract
According to current research in bibliometrics, percentiles (or percentile rank classes) are the most suitable method for normalizing the citation counts of individual publications in terms of the subject area, the document type, and the publication year. Up to now, bibliometric research has concerned itself primarily with the calculation of percentiles. This study suggests how percentiles (and percentile rank classes) can be analyzed meaningfully for an evaluation study. Publication sets from four universities are compared with each other to provide sample data. These suggestions take into account on the one hand the distribution of percentiles over the publications in the sets (universities here) and on the other hand concentrate on the range of publications with the highest citation impact—that is, the range that is usually of most interest in the evaluation of scientific performance.
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DOI: 10.1002/asi.22792
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