Factors that Influence How Scientific Articles and Reviews are Mentioned on Twitter

IF 0.6 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Journal of Scientometric Research Pub Date : 2023-11-30 DOI:10.5530/jscires.12.3.055
Pablo Dorta Gonzalez
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Abstract

Governments are increasingly pushing researchers to engage in activities with societal impact, emphasizing the need for research dissemination and engagement with the broader public. This study addresses this imperative by investigating the multifaceted factors that influence social media attention, particularly on Twitter, for scientific research. Using Altmetric data and employing multiple linear regression analysis, this paper explores the determinants of Twitter mentions for research outputs. The study shows that certain factors have a significant impact on the level of engagement. In particular, the presence of research in mainstream news emerges as the most influential factor, highlighting the power of media coverage in increasing research visibility. In addition, research topics that align with highly topical issues, such as the COVID-19 pandemic, also garner significant attention on Twitter. Conversely, the influence of expert recommendations and the consolidation of knowledge in the form of review articles have a relatively weaker impact on Twitter mentions. In addition, this study underscores that public policy references in reports and citations within Wikipedia have limited influence in driving social media attention. Interestingly, mentions in patent applications do not have a significant impact in this context. In conclusion, this study provides valuable insights into the dynamics of research dissemination in the digital age and sheds light on the nuanced factors that can enhance or diminish its societal impact on Twitter.
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影响科学文章和评论在 Twitter 上被提及的因素
各国政府正越来越多地推动科研人员参与具有社会影响力的活动,强调科研传播和与更广泛公众接触的必要性。本研究通过调查影响社交媒体(尤其是推特)对科学研究关注度的多方面因素,探讨了这一必要性。本文利用 Altmetric 数据并采用多元线性回归分析,探讨了 Twitter 上科研成果提及率的决定因素。研究表明,某些因素对参与度有重大影响。其中,研究成果出现在主流新闻中是最具影响力的因素,这凸显了媒体报道在提高研究知名度方面的作用。此外,与热门话题(如 COVID-19 大流行)相吻合的研究课题也会在 Twitter 上获得大量关注。相反,专家建议和综述文章形式的知识整合对 Twitter 提及率的影响相对较弱。此外,本研究还强调,报告中的公共政策引用和维基百科中的引用在推动社交媒体关注方面的影响力有限。有趣的是,专利申请中的引用在这方面的影响并不大。总之,本研究为研究在数字时代的传播动态提供了宝贵的见解,并揭示了可以增强或削弱其在 Twitter 上的社会影响的细微因素。
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来源期刊
Journal of Scientometric Research
Journal of Scientometric Research INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.30
自引率
12.50%
发文量
52
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