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Confidence intervals for Journal Impact Factors

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Abstract

In this Letter to the Editor, it is proposed that the significance of the difference between two Journal Impact Factors be assessed by calculating confidence intervals. Formulas are provided which can be used to calculate the confidence interval on the basis of the number of papers published and the number of citations received.

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References

  • Bornmann, L., Marx, W., Gasparyan, A. Y., & Kitas, G. D. (2012). Diversity, value and limitations of the Journal Impact Factor and alternative metrics. Rheumatology International (Clinical and Experimental Investigations), 32(7), 1861–1867.

    Google Scholar 

  • Cumming, G. (2012). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. London: Routledge.

    Google Scholar 

  • Cumming, G., & Finch, S. (2005). Inference by eye—Confidence intervals and how to read pictures of data. American Psychologist, 60(2), 170–180. doi:10.1037/0003-066x.60.2.170.

    Article  Google Scholar 

  • Greenwood, D. C. (2007). Reliability of Journal Impact Factor rankings. BMC Medical Research Methodology. doi:10.1186/1471-2288-7-48.

    Google Scholar 

  • Moed, H. F. (2002). Measuring China’s research performance using the Science Citation Index. Scientometrics, 53(3), 281–296. doi:10.1023/a:1014812810602.

    Article  Google Scholar 

  • Schubert, A., & Glänzel, W. (1983). Statistical reliability of comparisons based on the citation impact of scientific publications. Scientometrics, 5(1), 59–74.

    Article  Google Scholar 

  • Williams, R., & Bornmann, L. (2016). Sampling issues in bibliometric analysis. Journal of Informetrics, 10(4), 1253–1257.

    Article  Google Scholar 

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Authors and Affiliations

  1. Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539, Munich, Germany

    Lutz Bornmann

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  1. Lutz Bornmann
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Correspondence to Lutz Bornmann.

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Bornmann, L. Confidence intervals for Journal Impact Factors. Scientometrics 111, 1869–1871 (2017). https://doi.org/10.1007/s11192-017-2365-3

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  • DOI: https://doi.org/10.1007/s11192-017-2365-3

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