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The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor

Authors
  • Leydesdorff, Loet
  • Bornmann, Lutz
  • Adams, Jonathan
Type
Published Article
Journal
Scientometrics
Publisher
Springer-Verlag
Publication Date
Apr 20, 2019
Volume
119
Issue
3
Pages
1669–1694
Identifiers
DOI: 10.1007/s11192-019-03099-8
Source
Springer Nature
Keywords
License
Green

Abstract

We propose the I3* indicator as a non-parametric alternative to the journal impact factor (JIF) and h-index. We apply I3* to more than 10,000 journals. The results can be compared with other journal metrics. I3* is a promising variant within the general scheme of non-parametric I3 indicators introduced previously: I3* provides a single metric which correlates with both impact in terms of citations (c) and output in terms of publications (p). We argue for weighting using four percentile classes: the top-1% and top-10% as excellence indicators; the top-50% and bottom-50% as output indicators. Like the h-index, which also incorporates both c and p, I3*-values are size-dependent; however, division of I3* by the number of publications (I3*/N) provides a size-independent indicator which correlates strongly with the 2- and 5-year journal impact factors (JIF2 and JIF5). Unlike the h-index, I3* correlates significantly with both the total number of citations and publications. The values of I3* and I3*/N can be statistically tested against the expectation or against one another using chi-squared tests or effect sizes. A template (in Excel) is provided online for relevant tests.

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