文章摘要
邓国民,阎婷,罗敏.替代计量学指标分数与一流大学排名系统得分相关性研究[J].数字图书馆论坛,2023,(7):19~29
替代计量学指标分数与一流大学排名系统得分相关性研究
Correlations Between Altmetrics Scores and University Ranking System Scores of Top Universities
投稿时间:2023-05-21  
DOI:10.3772/j.issn.1673-2286.2023.07.003
中文关键词: 双一流;替代计量学;学术社交网络;世界大学学术排名
英文关键词: Double First-Class; Altmetrics; Academic Social Network; Academic Ranking of World Universities
基金项目:本研究得到教育部人文社会科学研究2019年度一般项目“基于学术社交网络的高校科研影响力计量评价研究”(编号:19YJA880005)资助。
作者单位
邓国民 贵阳学院教育科学学院 
阎婷 四川职业技术学院教师教育学院 
罗敏 四川水利职业技术学院信息工程学院 
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中文摘要:
      选择56所国内外学术排名靠前的大学为样本机构,以Web of Science核心合集为数据源,检索到样本机构2021年研究文献共469 347篇,利用Python语言编程访问Altmetric.com,获取这些文献的替代计量学数据,并在此基础上进行统计分析。首先,比较国内外一流大学论文产出、引用和替代计量学指标分数的现状及相关性,探讨国内外一流大学在研究论文产出、学术影响力和社会影响力等方面的差异。其次,分析国内外一流大学研究论文的替代计量学指标分数与各大学排名系统得分之间的相关性。最后,探讨将替代计量学指标作为大学科研影响力评价指标的必要性和可行性,为“双一流”高校建设提供参考。研究发现:国内“双一流”建设高校在研究产出和论文引用情况方面与国外一流大学基本类似,但其替代计量学指标分数显著低于国外大学;大学的替代计量学指标分数与其在大学排名系统中的大多数指标分数之间存在显著的相关性,能够作为大学排名系统评价标准和方法的有益补充。
英文摘要:
      56 universities with top academic rankings at home and abroad are selected as samples, and 469 347 research papers in 2021 are retrieved from the core database of Web of Science. Then, Python programming is used to access Altmetric.com to obtain Altmetrics data of these literatures, and statistical analysis is carried out on this basis. First, we compare the current situation and correlations of paper outputs, citations, and Altmetrics indicators of sample universities, and explore the differences in research paper output, academic influence, and social influence of top universities at home and abroad. Second, we analyze the correlations between Altmetrics indicators of research papers of sample universities and their scores in university ranking systems. Third, we explore the necessity and feasibility of using Altmetrics indicators to evaluate the scientific research influence of universities, and provide references for the building of “double first-class” universities. The research shows that domestic “double first-class” universities are similar to international first-class universities in terms of research output and paper citations, but their Altmetrics indicators are significantly lower. There are significant correlations between the Altmetrics indicators of sample universities and most indicators in the university ranking systems, and Altmetrics indicators can be used as useful supplement to the evaluation standards and methods of the university ranking systems.
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