An examination of the "top 100" articles published in 2023: an altmetric analysis

被引:1
|
作者
Shimray, Somipam R. [1 ]
Nongsiej, Prosperous [2 ]
机构
[1] Babasaheb Bhimrao Ambedkar Univ, Dept Lib & Informat Sci, Lucknow, India
[2] Martin Luther Christian Univ, Dept Management, Shillong, India
关键词
Altmetrics; Dimensions; Article metrics; Online attention; Social media; Top; 100; ATTENTION SCORE; SOCIAL MEDIA; IMPACT; CITATIONS; CORRELATE;
D O I
10.1108/GKMC-02-2024-0083
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
PurposeThe purpose of this study is to examine the "Top 100" articles that received the highest online attention in 2023.Design/methodology/approachThe author examined data obtained from the Dimensions database. They determined the top 100 articles with the highest Altmetric Attention Score published in 2023 using the Dimensions database. The search was done on December 31, 2023, and the publication type was limited to articles. Furthermore, articles were analyzed to identify online attention platforms, subject categories, publication sources, access types and authorship patterns. The data were organized in Microsoft Excel for eventual examination.FindingsThe most discoursed article in 2023 has an Article Attention Score of 26156. The "Top 100 List" is dominated by COVID-19-related studies. X (249,064), Mendeley (2,445) and News (1,977) are the most prominent sharing and discussion platforms. There is an unequal distribution of articles in 28 subject categories. The top 100 articles were published in 67 journals. The majority of articles are accessible under the open-access model. The top 100 articles are written by 1,323 authors, with an authorship range of 1 to 308. The majority of articles are the result of collaborative work, and the correlation analysis between citations and AAS indicates a weak positive correlation possibly because of different factors influencing each metric and their methods of measuring scholarly impact.Originality/valueTo the best of the authors' knowledge, this study is the first to present online attention to academic articles published in 2023. This study examines the effect of online attention platforms on research, which may be used as a measure of research outcome.
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页数:21
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