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

Authors

  • B. M. Gupta
     Scientometrics and Informetrics Group National Institute of Science, Technology and Development Studies, Dr. K.S. Krishnan Marg, New Delhi - 110012
  • Suresh Kumar
     Scientometrics and Informetrics Group National Institute of Science, Technology and Development Studies, Dr. K.S. Krishnan Marg, New Delhi - 110012

DOI:

https://doi.org/10.17821/srels/1998/v35i2/48725

Keywords:

Population Genetics, Lotka's Law, Statistical Distribution, Author Productivity, Binomial Distribution, Geometric Distribution.

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.

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Published

1998-01-02

How to Cite

Gupta, B. M., & Kumar, S. (1998). Scientific Productivity in Theoretical Population Genetics:A Case Study in Core Journals. Journal of Information and Knowledge, 35(2), 89–97. https://doi.org/10.17821/srels/1998/v35i2/48725

Issue

Volume 35, Issue 2, June 1998

Section

Articles

License

All the articles published in Journal of Information and Knowledge are held by the Publisher. Sarada Ranganathan Endowment for Library Science (SRELS), as a publisher requires its authors to transfer the copyright prior to publication. This will permit SRELS to reproduce, publish, distribute and archive the article in print and electronic form and also to defend against any improper use of the article.

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Received 2014-05-17
Accepted 2014-05-17
Published 1998-01-02

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