The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression

Published: Jan 4, 2016
Abstract
Identifying the statistical distribution that best fits citation data is important to allow robust and powerful quantitative analyses. Whilst previous studies have suggested that both the hooked power law and discretised lognormal distributions fit better than the power law and negative binomial distributions, no comparisons so far have covered all articles within a discipline, including those that are uncited. Based on an analysis of 26...
Paper Details
Title
The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression
Published Date
Jan 4, 2016
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