The citation merit of scientific publications.

Juan A Crespo, Ignacio Ortuño-Ortín, Javier Ruiz-Castillo
Author Information
  1. Juan A Crespo: Departamento de Economía Cuantitativa, Universidad Autónoma de Madrid, Madrid, Spain. juan.crespo@uam.es

Abstract

We propose a new method to assess the merit of any set of scientific papers in a given field based on the citations they receive. Given a field and a citation impact indicator, such as the mean citation or the [Formula: see text]-index, the merit of a given set of [Formula: see text] articles is identified with the probability that a randomly drawn set of [Formula: see text] articles from a given pool of articles in that field has a lower citation impact according to the indicator in question. The method allows for comparisons between sets of articles of different sizes and fields. Using a dataset acquired from Thomson Scientific that contains the articles published in the periodical literature in the period 1998-2007, we show that the novel approach yields rankings of research units different from those obtained by a direct application of the mean citation or the [Formula: see text]-index.

References

  1. Nature. 2004 Jul 15;430(6997):311-6 [PMID: 15254529]
  2. Proc Natl Acad Sci U S A. 2005 Nov 15;102(46):16569-72 [PMID: 16275915]
  3. Proc Natl Acad Sci U S A. 2007 Nov 13;104(46):17943-7 [PMID: 17991781]
  4. Proc Natl Acad Sci U S A. 2008 Nov 11;105(45):17268-72 [PMID: 18978030]

MeSH Term

Bibliometrics
Clinical Medicine
Economics
Laboratories
Neurosciences
Peer Review, Research
Physics
Science
Universities

Word Cloud

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