Radicchi F, Castellano C. Testing the fairness of citation indicators for comparison across scientific domains: the case of fractional citation counts. Journal of Informetrics 2012;6(1):121-130
(doi: 10.1016/j.joi.2011.09.002)
The use of raw citation counts is generally misleading, especially when applied to cross-disciplinary comparisons, since the average number of citations is strongly dependent on the scientific discipline of reference of the article. The authors present a statistical method aimed at estimating the effectiveness of numerical indicators in eliminating citation biases. The method is simple to implement and can be easily generalized to various scenarios.
http://www.sciencedirect.com/science/article/pii/S1751157711000794
(doi: 10.1016/j.joi.2011.09.002)
The use of raw citation counts is generally misleading, especially when applied to cross-disciplinary comparisons, since the average number of citations is strongly dependent on the scientific discipline of reference of the article. The authors present a statistical method aimed at estimating the effectiveness of numerical indicators in eliminating citation biases. The method is simple to implement and can be easily generalized to various scenarios.
http://www.sciencedirect.com/science/article/pii/S1751157711000794
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