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Scientometrics

, Volume 116, Issue 1, pp 609–622 | Cite as

The influence of dispersion on journal impact measures

  • William M. Cockriel
  • James B. McDonald
Article

Abstract

A family of measures of a journal’s impact is considered that takes account of the dispersion, as well as the mean, of the number of citations in a journal. These measures, called the Mean Dispersion Indices (MDI), generalize the stabilized-JIF recently introduced by Lando and Bertoli-Barsotti (J Informetr 11(3):689–703, 2017). The MDI use a geometric weighted average of the number of citations and the Gini coefficient to measure the dispersion of the number of citations. Journal rankings based on these measures are compared with those obtained from the Journal Impact Factor, the Scimago Journal Rank, the h-index measure, and the Eigenfactor rankings, four of the most well-known current impact measures. This comparison suggests that the different rankings may implicitly place different weights on dispersion and the average number of citations and some appear to show little correlation with dispersion.

Keywords

Dispersion Concentration Citation analysis Bibliometrics Journal impact factor Stabilized journal impact factor Scimago journal rank The h-index Eigenfactor rankings 

Notes

Acknowledgements

The authors appreciate the helpful and supportive comments provided by the editor and referees.

References

  1. Bar-Ilan, J. (2008). Which h-index? A comparison of WoS, Scopus and Google Scholar. Scientometrics, 74(2), 257–271.CrossRefGoogle Scholar
  2. Bergstrom, C. (2007). Eigenfactor: Measuring the value and prestige of scholarly journals. College & Research Libraries News, 68(5), 314–316.CrossRefGoogle Scholar
  3. Garfeld, E., & Sher, I. H. (1963). New factors in the evaluation of scientific literature through citation indexing. Journal of the Association for Information Science and Technology, 14(3), 195–201.Google Scholar
  4. Garfield, E. (1955). Citation indexes for science: A new dimension in documentation through association of ideas. Science, 122, 108–111.CrossRefGoogle Scholar
  5. Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178, 471–479.CrossRefGoogle Scholar
  6. Garfield, E. (1998). Long-term vs. short-term journal impact: Does it matter. Scientist, 12(3), 11–12.Google Scholar
  7. Garfield, E. (2006). The history and meaning of the journal impact factor. Journal of the American Medical Association, 295(1), 90–93.CrossRefGoogle Scholar
  8. Glötzl, F., & Aigner, E. (2017). Six dimensions of concentration in economics: Scientometric evidence from a large-scale data set. Ecological Economics Papers, 15, WU Vienna University of Economics and Business, Vienna. Institute of Ecological Economics.Google Scholar
  9. González-Pereira, B., Guerrero-Bote, V. P., & Moya- Anegón, F. (2010). A new approach to the metric of journals’ scientific prestige: The SJR Indicator. Journal of Informetrics, 4(3), 379–391.CrossRefGoogle Scholar
  10. Harzing, A. W. (2013). A preliminary test of Google Scholar as a source for citation data: A longitudinal study of Nobel Prize winners. Scientometrics, 94(3), 1057–1075.CrossRefGoogle Scholar
  11. Harzing, A. W., & Van Der Wal, R. (2008). Comparing the Google Scholar h-index with the ISI journal impact factor. Reserach in International Management Products and Services for Academics.Google Scholar
  12. Harzing, A. W., & Van Der Wal, R. (2009). A Google Scholar h-index for journals: An alternative metric to measure journal impact in economics and business. Journal of the Association for Information Science and Technology, 60(1), 41–46.Google Scholar
  13. Hirsch, J. E. (2005). An index to quantity an individual’s scientific research output. Proceedings of the National Academy of Science, 102(46), 16569–16572.CrossRefzbMATHGoogle Scholar
  14. Lando, T., & Bertoli-Barsotti, L. (2017). Measuring the citation impact of journals with generalized Lorenz curves. Journal of Informetrics, 11(3), 689–703.CrossRefGoogle Scholar
  15. Leydesdorff, L. (2008). Caveats for the use of citation indicators in research and journal evaluations. Journal of the Association for Information Science and Technology, 59(2), 278–287.Google Scholar
  16. Leydesdorff, L. (2009). How are new citation-based journal indicators adding to the bibliometric toolbox? Journal of the Association for Information Science and Technology, 60(7), 1327–1336.Google Scholar
  17. Moed, H. F. (2010). Measuring contextual citation impact of scientific journals. Journal of Informetrics, 4(3), 265–277.CrossRefGoogle Scholar
  18. Stern, D. I. (2013). Uncertainty measures for economics journal impact factors. Journal of Economic Literature, 51, 173–189.CrossRefGoogle Scholar
  19. Thelwall, M. (2016). Not dead, just resting: The practical value of per publication citation indicators. arXiv preprint arXiv:1606.00193.
  20. Waltman, L. (2016). A review of the literature on citation impact indicators. Journal of Informetrics, 10(2), 365–391.MathSciNetCrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2018

Authors and Affiliations

  1. 1.Brigham Young UniversityProvoUSA

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