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The percentage of reviews in research output: a simple measure of research esteem

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  • Grant Lewison

Abstract

This paper introduces a new and easy-to-determine indicator for research evaluation, namely the percentage of reviews (PR) within a group of papers (articles, notes and reviews). Because reviews are commissioned from, or submitted by, relatively senior researchers, their frequency plausibly provides a measure of the esteem in which a country's (or institution's) top researchers are held. We show that, just as with citation indicators, PR has increased with time, and that it varies substantially with major scientific field and by country, but rather less with sub-field and research level within medical research. It correlates quite well with national citation measures although manifesting an Anglophone bias, and also with the propensity of smaller European countries to co-author papers with US researchers. Two worked examples are given to show potential applications of the new indicator. Copyright , Beech Tree Publishing.

Suggested Citation

  • Grant Lewison, 2009. "The percentage of reviews in research output: a simple measure of research esteem," Research Evaluation, Oxford University Press, vol. 18(1), pages 25-37, March.
  • Handle: RePEc:oup:rseval:v:18:y:2009:i:1:p:25-37
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    File URL: http://hdl.handle.net/10.3152/095820209X410406
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    Cited by:

    1. Thed Leeuwen & Rodrigo Costas & Clara Calero-Medina & Martijn Visser, 2013. "The role of editorial material in bibliometric research performance assessments," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 817-828, May.
    2. Olesia Iefremova & Kamil Wais & Marcin Kozak, 2018. "Biographical articles in scientific literature: analysis of articles indexed in Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1695-1719, December.
    3. Grant Lewison & Valentina Markusova, 2011. "Female researchers in Russia: have they become more visible?," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 139-152, October.
    4. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2012. "Referencing patterns of individual researchers: Do top scientists rely on more extensive information sources?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2433-2450, December.
    5. Grant Lewison & Philip Roe, 2012. "The evaluation of Indian cancer research, 1990–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 167-181, October.

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