Are there stars in Bluesky? A comparative exploratory analysis of altmetric mentions between X and Bluesky

IF 3.4 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics Pub Date : 2025-06-27 DOI:10.1016/j.joi.2025.101700

Wenceslao Arroyo-Machado , Nicolas Robinson-Garcia , Daniel Torres-Salinas

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引用次数: 0

Abstract

This study examines the shift in the scientific community from X (formerly Twitter) to Bluesky, its impact on scientific communication, and consequently on social metrics (altmetrics). We analysed 14,497 publications from multidisciplinary and Library and Information Science (LIS) journals between January 2024 and March 2025. The results reveal a notable increase in Bluesky activity for multidisciplinary journals in November 2024, likely influenced by political and platform changes, with mentions multiplying for journals like Nature and Science. In LIS, the adoption of Bluesky is different and shows marked variation between European and United States journals. Although Bluesky remains a minority platform compared to X over the whole period, when focusing on user engagement after the United States elections, we see a much more even distribution between the two platforms. In two LIS journals, Bluesky even surpasses X, while in most others, the difference in user engagement was no longer as pronounced, marking a significant change from previous patterns in altmetrics.

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蓝天里有星星吗？《X》与《蓝天》的替代性提及比较探索性分析

本研究考察了科学界从X（以前的Twitter）到Bluesky的转变，以及它对科学传播的影响，从而对社会指标（altmetrics）的影响。我们分析了2024年1月至2025年3月期间来自多学科和图书馆与信息科学（LIS）期刊的14,497篇出版物。结果显示，2024年11月，可能受到政治和平台变化的影响，多学科期刊的蓝天活动显著增加，《自然》和《科学》等期刊的蓝天活动增加了一倍。在美国，对蓝天的采用是不同的，在欧洲和美国的期刊之间表现出明显的差异。尽管与X相比，Bluesky在整个期间仍然是一个小众平台，但当我们关注美国大选后的用户粘性时，我们发现这两个平台之间的分布更加均匀。在两份美国期刊中，Bluesky甚至超过了X，而在其他大多数期刊中，用户粘性的差异不再那么明显，这标志着与之前的替代指标模式发生了重大变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Informetrics Social Sciences-Library and Information Sciences

CiteScore

6.40

自引率

16.20%

发文量

期刊介绍： Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.