摘要
[目的/意义]旨在为新型学术评价指标的准确筛选、学者学术影响力提升和各级图书馆开展科研支持决策等创新服务提供参考。[方法/过程]量化了Altmetrics指标对引文量产生贡献的大小,选取综合学科大样本数据集,运用适合社交媒体平台的计数型数据类型的负二项回归模型进行拟合。[结果/结论]16个被调查的Altmetrics指标中,6个指标对引文量产生了显著影响。问答平台一个单位变化将增加引文量0.1945的变化,政策指标则贡献了引文量0.0226的提升。博客、谷歌社交平台、门德利等社交媒体平台上的分享有利于学术传播;而推特指标则使得论文学术影响力略有所降低,与众多小样本研究形成了鲜明的对比。
[Purpose/significance]The paper is to provide references for the selection of new academic evaluation indicators the promotion of academic influence of scholars and the development of decision-making of libraries based on scientific research at all levels.[Method/process]The paper quantifies the contribution of altmetrics to citation index selects the large sample data set of comprehensive disciplines and uses the negative binomial regression model of counting data type suitable for social media platform for fitting.[Result/conclusion]The results show that six of the 16 Altmetrics indexes have a significant impact on citation quantity.A unit change of Q&A platform will increase the citation quantity by 0.1945 while the policy indicators will contribute to the increase of 0.0226.Secondly the sharing on social media platforms such as Blog Google social platform and Mendeley is conducive to academic communication;while the twitter index makes the academic influence of papers slightly reduced which forms a sharp contrast with many small sample studies.
作者
李佳培
安海岗
冯鑫
Li Jiapei;An Haigang;Feng Xin(School of Management Hebei GEO University Shijiazhuang,Hebei 050031)
出处
《情报探索》
2021年第3期26-32,共7页
Information Research
基金
河北省社会科学基金项目“基于Altmetrics的学者社会影响力评价研究”(项目编号:HB19TQ009)成果。