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Rank-normalized journal impact factor as a predictive tool

✍ Scribed by Grzegorz Racki


Book ID
105751097
Publisher
Springer
Year
2009
Tongue
English
Weight
210 KB
Volume
57
Category
Article
ISSN
0004-069X

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## Abstract It is well known that uninformed science administrators often use ISI's journal impact factors without taking into account the inherent citation characteristics of individual scientific disciplines. A rank normalized impact factor (rnlF) is proposed which involves use of order statistic

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## Abstract Impact factors (and similar measures such as the Scimago Journal Rankings) suffer from two problems: (a) citation behavior varies among fields of science and, therefore, leads to systematic differences, and (b) there are no statistics to inform us whether differences are significant. Th