Trends of Authorship and Collaboration Rate of IJBT Journal
an analytical study
Keywords:
Biotechnology, IJBT, Indian Jouranl of Biotechnology Research, Lotka's Law, Co-authorship index, co-efficient of collaboration, k-s test, Chi-wquare testAbstract
This paper aims to study and analyze authorship pattern and collaboration trends and testing Lotka's law of author's productivityin the field of biotechnology research.The authorship data was collected from Indian Journal of Biotechnology Research during the period (i.e. 2008-18). A total of 842 articles were examined which are contributed by 3,309 unique authors in respect of year wise authorship, co-authorship index, co-efficient of collaborations, geographic distribution of authors etc. The authors found that most of the papers are multi-authored (96.67%) paper. Co-efficient of collaboration between authors registered highest in 2016 (0.74). The Lotka's inverse square law has been applied to examine the productivity of authors and it is tested by K-Sand Chi-square statistical tests and found that the productivity of author in IJBT journal follows the Lotka's law.This study will add value to scholarly literature and provide publications and authorship trends in IJBT journal.
