摘要
学术成果在新闻中的传播痕迹形成了新闻替代计量指标。最新研究表明,该指标能够反映学术成果的社会影响力。本文基于427万余条新闻替代计量数据的统计分析和对比分析,较为系统地揭示了其分布特征。研究发现,综合类和医学类的新闻来源平台提及学术成果的新闻量最多,其中The Conversation、EurekAlert!和MedicalXpress位居三甲;新闻指标的及时率为56%,优于政策文件指标,弱于新浪微博指标和推特指标;论文层次分布呈集中态势,以独立用户数观察,20%的学术成果拥有65%的新闻提及数,篇均指标值为3.5;来源层次分布基本符合布拉德福定律,测定出了76个核心来源,最核心的来源是The Conversation、Nature和PLoS ONE;学科层次分布中,医学与保健科学“一家独大”,其次是生物科学、心理与认知科学。这些结论将为进一步理解和应用新闻替代计量指标提供参考。
Propagation tracing of scholarly output in news has provided the basis for news altmetrics.The latest research shows that news altmetrics could reflect the societal impact of scholarly output.This study systematically revealed the distribution features of news altmetrics based on statistical and comparative analysis of over 4.27 million news altmetrics data records.The results showed that comprehensive and medical news platforms mentioned the highest number of scholarly outputs,the top three being The Conversation,EurekAlert!,and MedicalXpress.News altmetrics had a 56%immediacy rate,higher than that of policy document altmetrics but lower than that of Weibo and Twitter altmetrics.Distribution at the article level was highly concentrated,as measured by the number of unique users;20%of the scholarly outputs analyzed contributed to 65%of news mentions,with 3.5 news mentions on average.Distribution at the source level was in accordance with Bradford's law;76 core sources were identified,the top three being The Conversation,Nature,and PLoS ONE.At the disciplinary level,medical and health sciences dominates the distribution,followed by biological science and psychology and cognitive sciences.The results of this study will help researchers better comprehend and apply news altmetrics.
作者
余厚强
曹雪婷
王曰芬
Yu Houqiang;Cao Xueting;Wang Yuefen(School of Economics&Management,Nanjing University of Science&Technology,Nanjing 210094;Jiangsu Collaborative Innovation Center of Social Safety Science and Technology,Nanjing 210094)
出处
《情报学报》
CSSCI
CSCD
北大核心
2020年第10期1081-1092,共12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“替代计量数据质量评估体系的构建与实证研究”(18YJC870023)。
