Journal of Information Management
  • Year: 2022
  • Volume: 9
  • Issue: 1

Scientometric Analysis for the Mucormycosis Research Productivity for the Period of 2011–2020

1Assistant Librarian i/c Law Library, St. Xavier’s University, Kolkata, West Bengal, India

2Senior Librarian, The Kenya School of Government, Embu, Kenya

*Corresponding author email id: stephenlisp@gmail.com

Online Published on 19 September, 2022.

Abstract

Mucormycosis is a fungal infection of the sinuses, brain, or lungs. It occurs in some people with a weakened immune system. Mucormycosis, formerly known as zygomycosis, is the disease caused by the many fungi that belong to the fungal family ‘Mucorales’. Scientometrics is concerned with the quantitative features and characteristics of science and scientific research. Scientometrics is a sub-field of bibliometrics. This study analyses the global level outlook of research publications on Mucormycosis output between the periods of 2011 and 2020 on different limitations. The data was obtained from dimension database. The Total research productivity, Year wise research productivity, Top researchers, Publication Type, Top Source Title, and Journal List were done as part of the present scientometric analysis. This study found that regarding Mucormycosis research productivity, 2018 had the highest published articles which are represented by 19.89% and a steady trend of publication from 2011 to 2013. Dimitrios P Kontoyiannis had the highest number of publications (N=139) representing 14.37% of the total publications. Also identified that maximum number of source title of this research from the critical care with 380 citations. Articles were the highest publications (N=10,498) represented by 68.18% from other types of sources. Source title of Antimicrobial Agents and chemotherapy had the highest citation score (2,512) with a publication of 95 publications. Also, this study found that the Top research category of mucormycosis research is from Medical and health sciences.

Keywords

Mucormycosis, COVID, Lungs, Black fungus, Scientometric, Research productivity