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The thematic orientation of publications mentioned on social media: Large-scale disciplinary comparison of social media metrics with citations

机译:社交媒体上提到的出版物的主题取向:与引用的社会媒体指标的大规模纪律比较

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? Emerald Group Publishing Limited. ? Emerald Group Publishing Limited. Purpose – The purpose of this paper is to analyze the disciplinary orientation of scientific publications that were mentioned on different social media platforms, focussing on their differences and similarities with citation counts. Design/methodology/approach – Social media metrics and readership counts, associated with 500,216 publications and their citation data from the Web of Science database, were collected from Altmetric.com and Mendeley. Results are presented through descriptive statistical analyses together with science maps generated with VOSviewer. Findings – The results confirm Mendeley as the most prevalent social media source with similar characteristics to citations in their distribution across fields and their density in average values per publication. The humanities, natural sciences, and engineering disciplines have a much lower presence of social media metrics. Twitter has a stronger focus on general medicine and social sciences. Other sources (blog, Facebook, Google+, and news media mentions) are more prominent in regards to multidisciplinary journals. Originality/value – This paper reinforces the relevance of Mendeley as a social media source for analytical purposes from a disciplinary perspective, being particularly relevant for the social sciences (together with Twitter). Key implications for the use of social media metrics on the evaluation of research performance (e.g. the concentration of some social media metrics, such as blogs, news items, etc., around multidisciplinary journals) are identified. Purpose – The purpose of this paper is to analyze the disciplinary orientation of scientific publications that were mentioned on different social media platforms, focussing on their differences and similarities with citation counts. Design/methodology/approach – Social media metrics and readership counts, associated with 500,216 publications and their citation data from the Web of Science database, were collected from Altmetric.com and Mendeley. Results are presented through descriptive statistical analyses together with science maps generated with VOSviewer. Findings – The results confirm Mendeley as the most prevalent social media source with similar characteristics to citations in their distribution across fields and their density in average values per publication. The humanities, natural sciences, and engineering disciplines have a much lower presence of social media metrics. Twitter has a stronger focus on general medicine and social sciences. Other sources (blog, Facebook, Google+, and news media mentions) are more prominent in regards to multidisciplinary journals. Originality/value – This paper reinforces the relevance of Mendeley as a social media source for analytical purposes from a disciplinary perspective, being particularly relevant for the social sciences (together with Twitter). Key implications for the use of social media metrics on the evaluation of research performance (e.g. the concentration of some social media metrics, such as blogs, news items, etc., around multidisciplinary journals) are identified.
机译:还翡翠集团出版有限公司。还翡翠集团出版有限公司。目的 - 本文的目的是分析在不同社交媒体平台上提到的科学出版物的学科取向,重点是与引文计数的差异和相似之处。从Altmetric.com和Mendeley收集了与来自科学数据库Web的500,216个出版物和他们引文数据相关的设计/方法/方法 - 社交媒体度量和读者计数。结果是通过与VosViewer生成的科学映射一起的描述性统计分析来提出。调查结果 - 结果证实了Mendeley作为最普遍的社交媒体来源,其特征在于他们在跨越字段分发的引用及其在平均值的每个出版物的密度。人文,自然科学和工程学科在社交媒体指标的存在下降得多。 Twitter对普通医学和社会科学有更强烈的关注。其他来源(博客,Facebook,Google+和新闻媒体提及)对多学科期刊更加突出。原创性/价值 - 本文强化了Mendeley作为社交媒体来源的相关性,从学科角度来看,与社会科学(与Twitter一起)特别相关。确定了对研究性能评估的社交媒体指标的关键影响(例如,一些社交媒体指标的集中,例如博客,新闻项目等,周围的多学科期刊)。目的 - 本文的目的是分析在不同社交媒体平台上提到的科学出版物的学科取向,重点是与引文计数的差异和相似之处。从Altmetric.com和Mendeley收集了与来自科学数据库Web的500,216个出版物和他们引文数据相关的设计/方法/方法 - 社交媒体度量和读者计数。结果是通过与VosViewer生成的科学映射一起的描述性统计分析来提出。调查结果 - 结果证实了Mendeley作为最普遍的社交媒体来源,其特征在于他们在跨越字段分发的引用及其在平均值的每个出版物的密度。人文,自然科学和工程学科在社交媒体指标的存在下降得多。 Twitter对普通医学和社会科学有更强烈的关注。其他来源(博客,Facebook,Google+和新闻媒体提及)对多学科期刊更加突出。原创性/价值 - 本文强化了Mendeley作为社交媒体来源的相关性,从学科角度来看,与社会科学(与Twitter一起)特别相关。确定了对研究性能评估的社交媒体指标的关键影响(例如,一些社交媒体指标的集中,例如博客,新闻项目等,周围的多学科期刊)。

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