摘要
从Altmetric.com平台中收集2017年Top100热点论文指标数据,首先进行热点论文统计分析,然后结合Web of Science中引文指标数据,通过覆盖率和相关性进行指标筛选,利用主成分分析方法构建出论文影响力模型。研究结果表明:(1)2017年的Altmetrics热点论文的高产国为美国、研究机构类型高校居多、作者频次整体差异较大、研究方向排名靠前的多为医学、科学技术和生物学。(2)Twitter、Facebook、Blog、Mendeley、News和Wikipedia是构成每年Altmetrics热点论文的主要指标;引入被引频次后的热点论文综合评价更为合理;中国学者和科研机构在提升高质量论文学术影响力的同时,应当也注重其社会影响力。
This paper collects the index data of Top100 hot papers in 2017 from Altmetric.com platform. First of all, it analyzes the hot papers statistically, then combines the citation index data in Web of Science, through the coverage and correlation index screening, using the principal component analysis method to construct the paper influence model. The research results show that:(1) High-producing countrie is the United States;research institutes are mostly universities;the overall frequency of authors varies widely, and the directions of research are mostly in medicine, science and technology, and biology.(2) Twitter,Facebook, Blog, Mendeley, News and Wikipedia are the main indicators that make up the annual Altmetrics hot papers;It is more reasonable to introduce comprehensive evaluation of hot papers after citations;Chinese scholars and research institutes should also pay attention to their social influence while improving the academic influence of high-quality dissertations.
作者
余以胜
刘鑫艳
YU Yisheng;LIU Xinyan(Department of economics and management,South China Normal University, Guangdong Guangzhou 510006, China)
出处
《农业图书情报》
2019年第5期28-36,共9页
Agricultural Library and Information
基金
2018年国家社科基金项目“基于用户行为动机的Altmetrics评价模型构建与实证研究”(项目编号:18BTQ075)
2017年广东省哲学社会科学“基于Altmetrics的学术成果多维信息计量体系、评价模型及实证研究”(项目编号:GD17CTS01)
