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Autor/inn/en | Leydesdorff, Loet; Bornmann, Lutz; Adams, Jonathan |
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Titel | The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor. |
Quelle | In: Scientometrics, (2019) 3, S.1669-1694
PDF als Volltext |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0138-9130 |
DOI | 10.1007/s11192-019-03099-8 |
Schlagwörter | Journal indicator; Percentile; Citation analysis; *; Journal impact factor |
Abstract | 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. |
Erfasst von | OLC |
Update | 2023/2/05 |