How to analyze percentile citation impact data meaningfully in bibliometrics: The statistical analysis of distributions, percentile rank classes, and top‐cited papers
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- 30 January 2013
- journal article
- research article
- Published by Wiley in Journal of the American Society for Information Science and Technology
- Vol. 64 (3) , 587-595
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.Keywords
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This publication has 30 references indexed in Scilit:
- The problem of percentile rank scores used with small reference setsJournal of the American Society for Information Science and Technology, 2013
- The Leiden ranking 2011/2012: Data collection, indicators, and interpretationJournal of the American Society for Information Science and Technology, 2012
- Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factorJournal of Informetrics, 2012
- The new Excellence Indicator in the World Report of the SCImago Institutions Rankings 2011Journal of Informetrics, 2012
- Turning the tables on citation analysis one more time: Principles for comparing sets of documentsJournal of the American Society for Information Science and Technology, 2011
- Further steps towards an ideal method of measuring citation performance: The avoidance of citation (ratio) averages in field-normalizationJournal of Informetrics, 2011
- Towards a new crown indicator: Some theoretical considerationsJournal of Informetrics, 2011
- Is interactive open access publishing able to identify high-impact submissions? A study on the predictive validity of Atmospheric Chemistry and Physics by using percentile rank classesJournal of the American Society for Information Science and Technology, 2010
- Towards an ideal method of measuring research performance: Some comments to the Opthof and Leydesdorff (2010) paperJournal of Informetrics, 2010
- What do citation counts measure? A review of studies on citing behaviorJournal of Documentation, 2008