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Scientometrics
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Scientometrics
Article . 2009 . Peer-reviewed
License: Springer TDM
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Characteristic scores and scales in a Lotkaian framework

Authors: EGGHE, Leo;

Characteristic scores and scales in a Lotkaian framework

Abstract

The characteristic scores and scales (CSS), introduced by Glanzel and Schubert (J Inform Sci 14:123–127, 1988) and further studied in subsequent papers of Glanzel, can be calculated exactly in a Lotkaian framework. We prove that these CSS are simple exponents of the average number of items per source in general IPPs. The proofs are given using size-frequency functions as well as using rank-frequency functions. We note that CSS do not necessarily have to be defined as averages but that medians can be used as well. Also for these CSS we present exact formulae in the Lotkaian framework and both types of CSS are compared. We also link these formulae with the h-index.

Country
Belgium
Related Organizations
Keywords

Characteristic scores and scales; CSS; Average; Median; Lotka, characteristic scores and scales, CSS, average, median, Lotka

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Green
bronze