Lotka's Law and Authorship patterns in Urinary tract infections and Diabetes: A Scientometric analysis
Author(s): Mahendra Kumar Patel & Dr. Maya Verma
Abstract - An infection that can occur in any part of the urinary system is known as a urinary tract infection (UTI). The urinary system comprises the bladder, urethra, ureters, and kidneys. The majority of infections affect the lower urinary system's bladder and urethra. This study presents a scientometric analysis of authorship patterns in Urinary Tract Infection (UTI) and Diabetes. The study focuses on Lotka's law to understand the productivity and impact of authors in the field. For this study, 1149 documents were retrieved from the Web of Science database from 2009 to 2023. The USA leads in publications on UTIs and diabetes among all countries. Among all authors, Kuku K has been the most productive author. K-S test reveals that the current data set does not support Lotka's law's applicability to research on urinary tract infections and diabetes. The findings of the study suggest that there is a need for more research to be done to improve the understanding of the relationship between UTI and Diabetes.
Keywords - Urinary Tract Infection, Diabetes Mellitus, Lotka’s Law, Authorship pattern, Scientometric, Author productivity, Diabetes.
DOI URL: https://doi.org/10.26761/ijrls.10.2.2024.1768
Cite This Article As: Patel, M.K. & Verma, M. (2024) Lotka's Law and Authorship patterns in Urinary tract infections and Diabetes: A Scientometric analysis. International Journal of Research in Library Science (IJRLS), 10(2) 131-143. www.ijrls.in
Copyright © 2024 Author(s) retains the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0.
Paper ID: IJRLS-1768 Page: 131-143 Publication Date: 29 June 2024