Skip to Main content Skip to Navigation
Journal articles

Lotka’s Law and Authorship distribution pattern in Global Synthetic Biology Literature

Abstract : An attempt is made to examine the authorship distribution in Synthetic Biology (SB) literature and to validate Lotka's law of author productivity. Authors obtained data for this study from the WOS database. A total of 12012 papers with 33151 unique authors has identified , and used for further analysis. Authors calculated the exponents "n" and "c". Researchers employed Kolmogorov-Smirnov (K-S) test of goodness-of-fit to verify the validity of Lotka's Law in SB literature. The results of this study proved that Lotka's Law of author productivity does fit with SB literature based on the calculated values n = -2.45 and c= 0.74.
Document type :
Journal articles
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03105526
Contributor : Saravanan Govindaraj Connect in order to contact the contributor
Submitted on : Monday, January 11, 2021 - 10:35:08 AM
Last modification on : Tuesday, January 12, 2021 - 3:26:35 AM

Identifiers

  • HAL Id : hal-03105526, version 1

Collections

Citation

Naheem K.T., Sivaraman P., G Saravanan. Lotka’s Law and Authorship distribution pattern in Global Synthetic Biology Literature. Library Philosophy and Practice, University of Nebraska, Lincoln libraries, 2020, pp.4695. ⟨hal-03105526⟩

Share

Metrics

Record views

51