McCall's Area Transformation versus the Integrated Impact Indicator (I3)

[Loet Leydesdorff]

McCall <http://arxiv.org/abs/1202.4133> 's Area Transformation versus the
Integrated Impact Indicator (I3)


In a study entitled "Skewed Citation Distributions and Bias Factors:
Solutions to two core problems with the journal impact factor," Mutz &
Daniel (2012) propose (i) McCall's (1922) Area Transformation of the skewed
citation distribution so that this data can be considered as normally
distributed (Krus & Kennedy, 1977), and (ii) to control for different
document types as a co-variate (Rubin, 1977). This approach provides an
alternative to Leydesdorff & Bornmann's (2011) Integrated Impact Indicator
(I3). As the authors note, the two approaches are akin. 


Can something be said about the relative quality of the two approaches? To
that end, I replicated the study of Mutz & Daniel for the 11 journals in the
Subject Category "mathematical psychology," but using additionally I3 on the
basis of continuous quantiles (Leydesdorff & Bornmann, in press) and its
variant PR6 based on the six percentile rank classes distinguished by
Bornmann & Mutz (2011) as follows: the top-1%, 95-99%, 90-95%, 75-90%,
50-75%, and bottom-50%. 

 

 

** apologies for cross-postings

  _____  

Loet Leydesdorff 

Professor, University of Amsterdam
Amsterdam School of Communications Research (ASCoR)
Kloveniersburgwal 48, 1012 CX Amsterdam.
Tel. +31-20-525 6598; fax: +31-842239111

 <mailto:loet at leydesdorff.net> loet at leydesdorff.net ;
<http://www.leydesdorff.net/> http://www.leydesdorff.net/ 
Visiting Professor,  <http://www.istic.ac.cn/Eng/brief_en.html> ISTIC,
Beijing; Honorary Fellow,  <http://www.sussex.ac.uk/spru/> SPRU, University
of Sussex;  <http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en>
http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en  



 

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