A rejoinder on energy versus impact indicators

Authors:
Loet Leydesdorff;Tobias Opthof
Affiliations:
Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Amsterdam, The Netherlands 1012 CX;Experimental Cardiology Group, Heart Failure Research Center, Academic Medical Center AMC, Amsterdam, The Netherlands 1105 AZ and Department of Medical Physiology, University Medical Center, Utrec ...
Venue:
Scientometrics
Year:
2012

Citing 11
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A comment to the paper by Waltman et al., Scientometrics, 87, 467---481, 2011

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Integrated impact indicators compared with impact factors: An alternative research design with policy implications

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A comment to the papers by Opthof and Leydesdorff, Scientometrics, 88, 1011---1016, 2011 and Waltman et al., Scientometrics, 88, 1017---1022, 2011

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Energy indicators and percentile ranking normalization

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Abstract

Citation distributions are so skewed that using the mean or any other central tendency measure is ill-advised. Unlike G. Prathap's scalar measures (Energy, Exergy, and Entropy or EEE), the Integrated Impact Indicator (I3) is based on non-parametric statistics using the (100) percentiles of the distribution. Observed values can be tested against expected ones; impact can be qualified at the article level and then aggregated.