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  4. Mean values of skewed distributions in the bibliometric assessment of research units
 
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2020
Journal Article
Title

Mean values of skewed distributions in the bibliometric assessment of research units

Abstract
Nearly all distributions in bibliometrics are skewed. In particular, the distribution of citations of publications by research units is skewed. In a statistical view, the calculation of mean values can imply misleading or even wrong information. However, in citation analysis, the calculation of mean values of skewed distributions are standard. Therefore, when ranking research units, it is recommended instead to replace the calculation of standard mean values by the calculation of adjusted mean values to exclude outliers with very high citations and those with very few or no citations as well. Such an adjusted mean value is oriented on the standard activity of a research unit and results in a more adequate assessment. This approach is based on the Hirsch-index concept. The calculation results in a different ranking of research units, which may be important in cases where the distribution of finances depends on bibliometric rankings. In addition, a differentiation between standard activities and excellent results is possible, thus opening two dimensions of the assessment of research units.
Author(s)
Schmoch, Ulrich  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Journal
Scientometrics  
Open Access
DOI
10.24406/publica-r-262380
10.1007/s11192-020-03476-8
File(s)
N-589570.pdf (791.74 KB)
Rights
CC BY 4.0: Creative Commons Attribution
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • skewed distribution

  • mean value

  • adjusted mean value

  • Hirsch-index

  • bibliometrics

  • ranking of research units

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