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Hot spots of climate action research: altmetric attention and bibliometric analysis

Syed Aasif Ahmad Andrabi (Centre of Central Asian Studies, University of Kashmir, Srinagar, India)
Fayaz Ahmad Loan (Centre of Central Asian Studies, University of Kashmir, Srinagar, India and Islamic University of Science and Technology, Kashmir, India)

Global Knowledge, Memory and Communication

ISSN: 2514-9342

Article publication date: 10 January 2024

105

Abstract

Purpose

The purpose of this study is to apply altmetrics and bibliometric indicators on the top 100 most mentioned articles published related to the sustainable development goal (SDG)-13, Climate Action.

Design/methodology/approach

The authors used the Altmetric Explorer’s SDGs filter to extract the most mentioned articles belonging to Climate Action and their other characteristics, such as DOI, titles, tools mentioning them and their demographic descriptions. The same set of papers was searched in the Dimensions database to extract them in the format importable in R-studio to check the distribution of papers across various journals and identify their subject category, countries and institutions publishing these papers. Further, SPSS was used to check the correlation between altmetric attention score (AAS) and citations.

Findings

The results of the paper showed the mean of AAS and the citations received by the articles was 3,556.35 and 304.04, respectively. Twitter has been the most used social media platform for mentioning the research related to climate action, covering 88.1% of the total mentions. The Twitter and the News mention demographics show the USA contributing the most tweet mentions (15.2%) as well as news mentions (57.65%) to the papers. Also, the USA has solely published 49 papers from the total papers selected for the study. The papers were published in 31 journals most of them belonging to the quartile first (Q1) category and primarily belonged to the subject category “Earth Sciences.” Pearson’s correlational method showed a significant but low positive correlation between AAS and citation counts (r = 0.365, p = <0.001) and a strong positive correlation between the citations and Mendeley readership counts (r = 0.907).

Originality/value

The research is original in nature and discovered very interesting results about climate action using altmetric and bibliometric techniques.

Keywords

Acknowledgements

The authors wish to thank Altmetric for providing this study’s data free of charge for research purposes.

Funding: The study was funded by UGC (University Grants Commission) India.

Citation

Andrabi, S.A.A. and Loan, F.A. (2024), "Hot spots of climate action research: altmetric attention and bibliometric analysis", Global Knowledge, Memory and Communication, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/GKMC-07-2023-0255

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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