
The study aims to examine the validity of Lotka’s law and authorship distribution to the research outcome of Indian bioinformatics research output indexed in the web of science during 2008-2017. A total of 8732 papers has been scattered in 1723 journals during the period were compiled from web of science database. The paper gives a review of the scholarly contribution on the various facets of Lotka's Law and its application in different subject fields. Using ‘straight count’ of authors, a total of 3835 personal authors were identified and the Lotka’s law was tested using K- S goodness- of - fit test and Chi- square test. The results indicate that the author productivity distribution of Lotka’s law is applicable to bioinformatics literature, while applying K- S test and not applicable when the Chi- square test is employed.
Lotka's Law, Bioinformatics, Web of Science, Chi-Square test, Kolmogorov-Smirnov (K-S) test, India.
Lotka's Law, Bioinformatics, Web of Science, Chi-Square test, Kolmogorov-Smirnov (K-S) test, India.
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
