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Altmetrics analysis of highly cited academic papers in the field of library and information science

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  • Jane Cho

    (Incheon National University)

Abstract

In this study, altmetrics for LIS research papers, and whether OA affects the altmetrics, were analyzed. In addition, by analyzing the differences in the altmetrics in 10 major research areas of LIS, this study identified sub-research topics that are frequently read outside of academia or mentioned on social media. This study sampled a thousand papers highly cited in the WOS, OA status and altmetrics of papers were collected through Unpaywall and PlumX. The collected data was analyzed as follows. Whether the OA affects the usage, capture, mention, and social media attention of the altmetrics was identified through a Mann–Whitney analysis, and was presented visually through a correspondence analysis. And then using factor analysis and correlation analysis, this study understand whether the article cited in an academic paper or bookmarked for reading showed a sensitive reaction to social media as well. Finally to understand the difference in altmetrics sensitivity of 10 LIS sub-subject topics, papers showing a high sensitivity for each of the 6 sources were selected, and a correspondence analysis was conducted on the relationship with the subject topics. The analysis results can be summarized as follows: First, 63% of the papers to be analyzed had a Mendeley bookmark reader, whereas 36%, 17%, 3%, and 4% had views, tweets, blogs, and Wiki references, respectively. Second, views, blogs, and tweets showed greater sensitivity in open-access papers, and the number of Mendeley bookmark readers was the only source of altmetrics that had a significant correlation with citations. Fourth, information technology and knowledge management topics showed a high number of citations and readers, and public libraries and websites appeared as research topics with a significant usage. In addition, academic communication appeared as a topic with high sensitivity to tweets.

Suggested Citation

  • Jane Cho, 2021. "Altmetrics analysis of highly cited academic papers in the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7623-7635, September.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:9:d:10.1007_s11192-021-04084-w
    DOI: 10.1007/s11192-021-04084-w
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    References listed on IDEAS

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    2. Carlos Vílchez-Román & Arístides Vara-Horna, 2021. "Usage, content and citation in open access publication: any interaction effects?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9457-9476, December.
    3. Qianjin Zong & Zhihong Huang & Jiaru Huang, 2023. "Do open science badges work? Estimating the effects of open science badges on an article’s social media attention and research impacts," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3627-3648, June.
    4. Qianjin Zong & Zhihong Huang & Jiaru Huang, 2023. "Can open access increase LIS research’s policy impact? Using regression analysis and causal inference," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4825-4854, August.

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