Application of Lotka’s law in Indian cytokine publications: A scientometric study based on web of science during 1998 TO 2022
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl.41Abstract
This study is descriptive type; the scientific term of “Cytokine” related publications were retrieved from the web science database from
1998 to 2022. Data were gathered on 28th November 2022, and a total of 5533 bibliography documents (including journal articles, conference proceedings, Book Chapters, Correction, etc) were retrieved and used for further study. Extraction of data was used through Hist Cite software and MS Excel, VOS viewer and Biblioshiny software were used to visualize the co-authorship network and mapping of the research productivity, local citation score (LCS) and global citation score (GCS) were identified. The main focus of this study is to find the year-wise authorship pattern, structure of co-authorship, trend of growth, different document types, most produced authors, contributing countries, most productive sources, most prolific institutions, co-authorship ratio, degree of collaboration, collaborative index; collaborative co-efficiency and testing the bibliometric law. A total of 5533 original research articles were retrieved from the Web of Science database for this study. Totally 35518 authors were contributed, among those single authored have contributed 74 (1.3%) articles. Four authored 842 (15.2%) collaborative contributions are higher than other co-authorship contributions. 2021 year have highest publications. 2016 earned the highest global citation scores. AIIMS and BHU were the most productive institutions. The USA and UK most collaborated with India.
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