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作 者:刘晓娟 潘银蓉 韦娱 Liu Xiaojuan;Pan Yinrong;Wei Yu(School of Government,Beijing Normal University,Beijing 100875)
出 处:《信息资源管理学报》2021年第3期67-76,共10页Journal of Information Resources Management
基 金:国家社会科学基金项目“社交媒体视域下科研评价的理论与方法研究”(17BTQ070)的研究成果之一。
摘 要:为探索全文引文分析方法在Altmetrics中的应用价值与路径,促进对Altmetrics指标的深入理解与合理利用,参考全文引文分析方法,结合社交媒体文本特点,建立社交媒体文本提及学术成果行为的分析框架,并以2019年altmetric.com公布的AAS Top50论文及其提及博文为实证数据集,结合博文文本特征,从论文提及方式、位置、强度及情感与动机等方面对提及行为进行分析发现,博文提及论文与学术论文中的文献引用既有联系,也有区别。将衍化后的全文引文分析方法应用于社交媒体文本的提及行为,能够揭示行为的本质及其对于学术评价的意义,有利于Altmetrics方法体系的构建。To explore the application value and path of full-text citation analysis method in altmetrics,so as to promote the in-depth understanding and rational utilizationof altmetrics,by referring to the full-text citation analysis method and combining with the characteristics of social media texts,this paper established an analytical framework for the behavior of social media texts referring to academic achievements.It took AAS Top50 papers published by Altmetric.com in 2019 and the blog posts that mentioned these papers as empirical data sets.Combined with the feature of blog posts,it analyzed the behavior of referring to papers from the aspects of mention pattern,mention position,mention intensity,mention emotion and motivation,etc.The study found that there are both connections and differences between the behavior of the blog posts referring to papers and the citation behavior of the academic papers.The application of the derived full-text citation analysis method to the mention behavior of social media texts can reveal the nature of behavior and its significance to academic evaluation,which is conducive to the construction of altmetrics method system.
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