收稿日期: 2014-09-11
修回日期: 2014-10-11
网络出版日期: 2014-11-07
基金资助
本文系中央高校基本科研业务费专项资金资助项目"基于信息素养教育的高校图书馆知识服务研究——以兰州大学为例"(项目编号:13LZUJBWZY063)研究成果之一。
Research on Academic Influence of High Altmetrics Sci-tech Papers
Received date: 2014-09-11
Revised date: 2014-10-11
Online published: 2014-11-07
引入"公平性测试"方法以消除时间窗口对被引次数的影响。以高Altmetrics指标论文作为样本,选取与样本论文发表在同一期刊同一期上前后两篇论文作为参照。利用Altmetric.com、Web of Science分别获取273篇样本及参照论文的Altmetric分数、底层数据值和被引用次数。通过比较分析后发现:Altmetrics和引文数两种指标反映出读者对文献的不同关注方向,底层数据源中大众媒体对于Altmetric分数的影响最明显,高Altmetrics指标论文同时具有较高的学术影响力。作为一种早期指标,高Altmetrics指标在一定程度上能够被视作文章在未来获得高被引的风向标。
关键词： 高Altmetrics指标论文; 学术影响力; 引文数; 指标权重; Altmetric.com
王睿 , 胡文静 , 郭玮 . 高Altmetrics指标科技论文学术影响力研究[J]. 图书情报工作, 2014 , 58(21) : 92 -98 . DOI: 10.13266/j.issn.0252-3116.2014.21.013
This paper introduced a fairness test to overcome citation biases caused by time windows. The authors used papers with high Altmetrics index as samples and selected articles adjacent to them in the same issue of the scientific journal as references. This paper picked 273 papers from Altmetric.com and Web of Science, and analyzed their Altmetric score and citation counts. The results showed that Altmetrics and citation counts represented different interests among readers upon the papers; news outlets had the most obvious impact on Altmetric score; high Altmetrics papers also had high academic influence. This suggested that Altmetrics could predict to some extent if a paper will have high citation counts.
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