Integrated Impact Indicators (I3) compared with Impact Factors (IFs): An alternative research design with policy implications

Loet Leydesdorff; Lutz Bornmann

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arXiv · 1103.5241

Integrated Impact Indicators (I3) compared with Impact Factors (IFs): An alternative research design with policy implications

Loet Leydesdorff·Lutz Bornmann

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Abstract

In bibliometrics, the association of "impact" with central-tendency statistics is mistaken. Impacts add up, and citation curves should therefore be integrated instead of averaged. For example, the journals MIS Quarterly and JASIST differ by a factor of two in terms of their respective impact factors (IF), but the journal with the lower IF has the higher impact. Using percentile ranks (e.g., top-1%, top-10%, etc.), an integrated impact indicator (I3) can be based on integration of the citation curves, but after normalization of the citation curves to the same scale. The results across document sets can be compared as percentages of the total impact of a reference set. Total number of citations, however, should not be used instead because the shape of the citation curves is then not appreciated. I3 can be applied to any document set and any citation window. The results of the integration (summation) are fully decomposable in terms of journals or instititutional units such as nations, universities, etc., because percentile ranks are determined at the paper level. In this study, we first compare I3 with IFs for the journals in two ISI Subject Categories ("Information Science & Library Science" and "Multidisciplinary Sciences"). The LIS set is additionally decomposed in terms of nations. Policy implications of this possible paradigm shift in citation impact analysis are specified.

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Loet Leydesdorff, Lutz Bornmann. 2011-06-13. Integrated Impact Indicators (I3) compared with Impact Factors (IFs): An alternative research design with policy implications. https://arxiv.org/abs/1103.5241

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