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Dataset Explaining social media attention in Clinical Medicine research through social mentions and bibliometric factors

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NIAID Data Ecosystem2026-03-13 收录
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https://figshare.com/articles/dataset/Dataset_Explaining_social_media_attention_in_Clinical_Medicine_research_through_social_mentions_and_bibliometric_factors/20411592
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The unit of study: articles and reviews in disciplinary journals in the field of Clinical Medicine. The time frame covers 2018-2020 and the country analyzed is Spain.  The random sample:  N=4895. The years 2018 and 2019 correspond to a simple random sample, while the year 2020 is a compendium of a random sample and the complete COVID-19 subgroup.   Variables: Twitter is nowadays the most used social media platform by the general population (and by researchers in particular) to disseminate and comment on the results of scientific research. There are many and varied factors that may influence social media attention of research. These factors include the mainstream news coverage, the treated topic (COVID-19, for example), and some characteristics of the research such as its proximity to social issues (impact on public policy) and business (impact on patents), their contribution to the consolidation of knowledge (in the format of review or mention on Wikipedia), and the recommendation of experts (Faculty Opinions).
创建时间:
2022-08-01
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