Scientific Productivity in Theoretical Population Genetics:A Case Study in Core Journals

Abstract

Examines the applicability of Lotka's Law and a few other statistical distributions for their goodness-of-fit to the author productivity data from eleven core journals in theoretical population genetics. The negative binomial and geometric distribution are found to be generally applicable in majority of the data sets and also in terms of best fit.