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Research quality evaluation: comparing citation counts considering bibliometric database errors

Listed author(s):
  • Fiorenzo Franceschini

    ()

  • Domenico Maisano
  • Luca Mastrogiacomo
Registered author(s):

    When evaluating the research output of scientists, institutions or journals, different portfolios of publications are usually compared with each other. e.g., a typical problem is to select, between two scientists of interest, the one with the most cited portfolio. The total number of received citations is a very popular indicator, generally obtained by bibliometric databases. However, databases are not free from errors, which may affect the result of evaluations and comparisons; among these errors, one of the most significant is that of omitted citations. This paper presents a methodology for the pair-wise comparison of publication portfolios, which takes into account the database quality regarding omitted citations. In particular, it is defined a test for establishing if a citation count is (or not) significantly higher than one other. A statistical model for estimating the type-I error related to this test is also developed. Copyright Springer Science+Business Media Dordrecht 2015

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    File URL: http://hdl.handle.net/10.1007/s11135-013-9979-1
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    Article provided by Springer in its journal Quality & Quantity.

    Volume (Year): 49 (2015)
    Issue (Month): 1 (January)
    Pages: 155-165

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    Handle: RePEc:spr:qualqt:v:49:y:2015:i:1:p:155-165
    DOI: 10.1007/s11135-013-9979-1
    Contact details of provider: Web page: http://www.springer.com

    Order Information: Web: http://www.springer.com/economics/journal/11135

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