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Citations to scientific articles: Its distribution and dependence on the article features

Author

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  • Vieira, E.S.
  • Gomes, J.A.N.F.

Abstract

The citation counts are increasingly used to assess the impact on the scientific community of publications produced by a researcher, an institution or a country. There are many institutions that use bibliometric indicators to steer research policy and for hiring or promotion decisions. Given the importance that counting citations has today, the aim of the work presented here is to show how citations are distributed within a scientific area and determine the dependence of the citation count on the article features. All articles referenced in the Web of Science in 2004 for Biology & Biochemistry, Chemistry, Mathematics and Physics were considered.

Suggested Citation

  • Vieira, E.S. & Gomes, J.A.N.F., 2010. "Citations to scientific articles: Its distribution and dependence on the article features," Journal of Informetrics, Elsevier, vol. 4(1), pages 1-13.
  • Handle: RePEc:eee:infome:v:4:y:2010:i:1:p:1-13
    DOI: 10.1016/j.joi.2009.06.002
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    References listed on IDEAS

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    1. Per O. Seglen, 1994. "Causal relationship between article citedness and journal impact," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 45(1), pages 1-11, January.
    2. Oscar N. Ventura & Alvaro W. Mombrú, 2006. "Use of bibliometric information to assist research policy making. A comparison of publication and citation profiles of Full and Associate Professors at a School of Chemistry in Uruguay," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(2), pages 287-313, November.
    3. Wolfgang Glänzel & Bart Thijs, 2004. "Does co-authorship inflate the share of self-citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 395-404, November.
    4. David Adam, 2002. "The counting house," Nature, Nature, vol. 415(6873), pages 726-729, February.
    5. H. S. Sichel, 1992. "Note on a strongly unimodal bibliometric size frequency distribution," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(4), pages 299-303, May.
    6. Per O. Seglen, 1992. "The skewness of science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 628-638, October.
    7. Lutz Bornmann & Hans-Dieter Daniel, 2006. "Selecting scientific excellence through committee peer review - A citation analysis of publications previously published to approval or rejection of post-doctoral research fellowship applicants," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 427-440, September.
    8. van Raan, Anthony F.J., 2001. "Two-step competition process leads to quasi power-law income distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 298(3), pages 530-536.
    9. Lutz Bornmann & Hans‐Dieter Daniel, 2007. "Multiple publication on a single research study: Does it pay? The influence of number of research articles on total citation counts in biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(8), pages 1100-1107, June.
    10. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
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