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Leydesdorff, L.; Bornmann, L.; Mutz, R.; Opthof, T.: Turning the tables on citation analysis one more time : principles for comparing sets of documents (2011) 0.02
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Abstract

We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. Citation distributions are-as a rule-highly skewed and should not be arithmetically averaged. With percentile ranks, the citation score of each paper is rated in terms of its percentile in the citation distribution. The percentile ranks approach allows for the formulation of a more abstract indicator scheme that can be used to organize and/or schematize different impact indicators according to three degrees of freedom: the selection of the reference sets, the evaluation criteria, and the choice of whether or not to define the publication sets as independent. Bibliometric data of seven principal investigators (PIs) of the Academic Medical Center of the University of Amsterdam are used as an exemplary dataset. We demonstrate that the proposed family indicators [R(6), R(100), R(6, k), R(100, k)] are an improvement on averages-based indicators because one can account for the shape of the distributions of citations over papers.

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1370-1381

Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014) 0.02

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Date: 22. 8.2014 17:05:18
Source: Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1939-1943

Bornmann, L.; Moya Anegón, F. de; Mutz, R.: Do universities or research institutions with a specific subject profile have an advantage or a disadvantage in institutional rankings? (2013) 0.00

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Source: Journal of the American Society for Information Science and Technology. 64(2013) no.11, S.2310-2316

Bornmann, L.; Mutz, R.; Daniel, H.-D.: Are there better indices for evaluation purposes than the h index? : a comparison of nine different variants of the h index using data from biomedicine (2008) 0.00

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Source: Journal of the American Society for Information Science and Technology. 59(2008) no.5, S.830-837

Bornmann, L.; Mutz, R.; Daniel, H.D.: Do we need the h index and its variants in addition to standard bibliometric measures? (2009) 0.00

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Source: Journal of the American Society for Information Science and Technology. 60(2009) no.6, S.1286-1289

Bornmann, L.; Mutz, R.; Daniel, H.-D.: Multilevel-statistical reformulation of citation-based university rankings : the Leiden ranking 2011/2012 (2013) 0.00

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Source: Journal of the American Society for Information Science and Technology. 64(2013) no.8, S.1649-1658

Bornmann, L.; Mutz, R.: Growth rates of modern science : a bibliometric analysis based on the number of publications and cited references (2015) 0.00

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Source: Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2215-2222

Mutz, R.; Bornmann, L.; Daniel, H.-D.: Testing for the fairness and predictive validity of research funding decisions : a multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austrian science fund (2015) 0.00

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Source: Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2321-2339

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