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J Vector Borne Dis. 2019 Jan-Mar;56(1):70-77. doi: 10.4103/0972-9062.257779.

Unravelling the trends of research on malaria in India through bibliometric analysis.

Author information

1
MSc School of Earth and Environmental Sciences, University of Manchester, Manchester, United Kingdom.
2
Alliance Manchester Business School, University of Manchester, Manchester, United Kingdom.

Abstract

Background & objectives:

With the development of technological know-how, in recent years, malaria research in India has advanced to a great extent and the corresponding research is being translated into the form of publications, which has started to pile in thousands over the years. The purpose of the present study was to perform a bibliometric analysis on malaria research in India from its inception.

Methods:

The Web of Science (WoS) platform developed by Clarivate Analytics was utilized to retrieve publications on malaria research in India. The publications were retrieved in bibtex format and were further used for analysis in "R" Bibliometrix package. The analysis included number of publications in each year along with their keywords, title, authors, institutes, abstract, journal name and countries.

Results:

A total of 2334 publications on malaria in India were obtained from 1909 to 2019 (March). The emerging trends on themes of malaria research in India were unraveled with the help of keywords co-occurrence network analysis. The bibliometric analysis shed light on the evolution of journals and trends on choice of journals that the authors made over the years and the contribution of different countries in malaria research.

Interpretation & conclusion:

The bibliometric analysis performed over 110 yr not only contributes towards understanding the trends based on research topics, but also on the importance of data science. Assuming the fact that the number of publications would increase from thousands to lakhs in future; going forward, it has become imperative for the researchers and students to develop methods using computer-based algorithms and carry out literature review which allows for in-depth study of vast amount of literature.

KEYWORDS:

Bibliometrics; India; keyword co-occurrence; malaria

PMID:
31070170
DOI:
10.4103/0972-9062.257779
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