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Impact factor distribution revisited with graphical representation

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Abstract

In this work, we propose the graphical representation for the empirical data of the impact factor rank-ordered distribution. The characteristics of the distribution can be directly visualized. Within the subject category of journal citation reports, the impact factor rank-ordered distribution systematically presents a clear evidence of the two-exponent behavior and the S-shaped decrease. The sharp convex decrease is related to the first exponent, which dictates the distribution of lower ranks. The mild concave decrease is related to the second exponent, which dictates the distribution of higher ranks. The relevance of Matthew effect is discussed.

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References

  • Brzezinski, M. (2014). Empirical modeling of the impact factor distribution. Journal of Informetrics, 8, 362–368.

    Article  MathSciNet  Google Scholar 

  • Campanario, J. M. (2010). Distribution of ranks of articles and citations in journals. Journal of the American Society for Information Science and Technology, 61, 419–423.

    Article  Google Scholar 

  • Egghe, L. (2009). Mathematical derivation of the impact factor distribution. Journal of Informetrics, 3, 290–295.

    Article  Google Scholar 

  • Egghe, L. (2011). The impact factor rank-order distribution revisited. Scientometrics, 87, 683–685.

    Article  Google Scholar 

  • Egghe, L., & Waltman, L. (2011). Relations between the shape of a size-frequency distribution and the shape of a rank-frequency distribution. Information Processing and Management, 47, 238–245.

    Article  Google Scholar 

  • Guerrero-Bote, V. P., Zapico-Alonso, F., Espinosa-Calvo, M. E., Gómez-Crisóstomo, R., & Moya-Anegón, F. (2007). The iceberg hypothesis: import-export of knowledge between scientific subject categories. Scientometrics, 71, 423–441.

    Article  Google Scholar 

  • Lancho-Barrantes, B. S., Guerrero-Bote, V. P., & Moya-Anegón, F. (2010). The iceberg hypothesis revisit. Scientometrics, 85, 443–461.

    Article  Google Scholar 

  • Mansilla, R., Köppen, E., Cocho, G., & Miramontes, P. (2007). On the behavior of journal impact factor rank-order distribution. Journal of Informetrics, 1, 155–160.

    Article  Google Scholar 

  • Martínez-Mekler, G., Martínez, R. A., del Río, M. B., Mansilla, R., Miramontes, P., & Cocho, G. (2009). Universality of rank-ordering distributions in the arts and sciences. PLoS One, 4, e4791-1-7.

    Article  Google Scholar 

  • Mishra, S. K. (2010). A note on empirical sample distribution of journal impact factors in major discipline groups. Available at Social Science Research Network. http://ssrn.com/abstract=1552723.

  • Sarabia, J. M., Prieto, F., & Trueba, C. (2012). Modeling the probabilistic distribution of the impact factor. Journal of Informetrics, 6, 66–79.

    Article  Google Scholar 

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Correspondence to Ding-wei Huang.

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Hsu, Jw., Huang, Dw. Impact factor distribution revisited with graphical representation. Scientometrics 107, 1321–1329 (2016). https://doi.org/10.1007/s11192-016-1921-6

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  • DOI: https://doi.org/10.1007/s11192-016-1921-6

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