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学术成果的脸书提及量分布特征研究 被引量:1

Distribution Features of Facebook Altmetrics of Scholarly Outputs
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摘要 通过对2018年7月至2019年6月一年时间窗口的42.8万条脸书数据记录进行统计分析,旨在揭示脸书提及量的数值分布特征。研究结果发现,脸书提及的相对覆盖率为8.1%,处于一个相对较低的水平;脸书提及量的及时率为74%,优于新闻指标、推特指标、新浪微博指标以及政策文件指标,这表明脸书用户更为关注最新成果;成果层次的脸书提及量分布相对比较均匀,基于独立用户数计算,20%的学术成果仅获得37%的脸书提及;来源层次的脸书提及量分布基本符合布拉德福定律,识别出140个核心来源,其中,最核心的来源为The Conservation、Nature和Science;学科层次的分布中,脸书提及量最高的学术成果来自医学与健康科学,所占比例高达61%,生物学、心理学与认知科学也获得相对较高的提及量。这些结论为脸书替代计量指标的进一步应用提供参考。 In this paper,a statistical analysis of more than 420,000 Facebook altmetrics from July 2018 to June 2019 and a preliminary exploration of their numerical distribution characteristics were conducted.The study found that the relative coverage rate of Facebook altmetrics is 8.1%,indicating a relatively low level.The immediacy rate of Facebook altmetrics is 74%,which is better than News,Twitter,Weibo,and Policy document altmetrics,which instructs Facebook users to pay more attention to the latest achievements.The distribution of academic publications is relatively even:as based on the number of independent users,20% of academic publications are mentioned by only 37% of Facebook altmetrics.The distribution of academic sources is in accordance with Bradford’s Law,and 140 core sources are calculated,of which the core sources are The Conservation,Nature,and Science.As for the discipline-level distribution of Facebook altmetrics,medical and health sciences is in the dominant position,reaching as high as 61%,and biological science,psychology,and cognitive science also receive relatively high mentions.These conclusions will provide a reference for the further application of Facebook altmetrics.
作者 余厚强 章玮 曹雪婷 Yu Houqiang;Zhang Wei;Cao Xueting(School of Information Management,Sun Yat-sen University,Guangzhou 510006;School of Economics&Management,Nanjing University of Science&Technology,Nanjing 210094)
出处 《情报学报》 CSSCI CSCD 北大核心 2021年第10期1079-1091,共13页 Journal of the China Society for Scientific and Technical Information
基金 国家自然科学基金青年科学基金项目“结合情境数据的替代计量指标多元化内涵识别与表征研究”(71804067) 教育部人文社会科学青年基金项目“替代计量数据质量评估体系的构建与实证研究”(18YJC870023)。
关键词 替代计量学 脸书 脸书提及量 科学交流 科学评价 altmetrics Facebook Facebook mentions scientific communication scientific evaluation
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