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基于Altmetric Top 100的中国科学论文多维特征分析
引用本文:刘芷欣. 基于Altmetric Top 100的中国科学论文多维特征分析[J]. 情报探索, 2021, 0(4): 73-82
作者姓名:刘芷欣
作者单位:广东岭南职业技术学院图书馆 广东广州 510663
基金项目:2019年广东省图书馆学会“基于替代计量学Altmetrics的学术成果评价研究”(项目编号:GDTK1931);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)成果之一。
摘    要:[目的/意义]为了推动中国学者学术论文的国际影响力,有利于国内学者在发表国际论文时有更好的选择依据。[方法/过程]以2013—2019年Altmetric Top 100中国科学论文为研究样本,通过对其Altmetrics数据和传统计量数据进行统计,分析研究其特征。[结果/结论]论文聚焦于医学、生物和社会研究等学科,主要由中国科学院和国内985高校(双一流)研究完成,与欧美发达国家合作较多,主要发表于非付费获取方式的高影响因子国际期刊,一般由社会公众在Twitter上讨论与传播,其Altmetrics评分与被引频次的相关性极弱。

关 键 词:Altmetrics  科学论文  特征  Twitter  被引频次

Research on Multidimensional Characteristics of Top 100 Chinese Scientific Articles Based on Altmetric
Liu Zhixin. Research on Multidimensional Characteristics of Top 100 Chinese Scientific Articles Based on Altmetric[J]. Information Research, 2021, 0(4): 73-82
Authors:Liu Zhixin
Affiliation:(Guangdong Lingnan Institute of Technology Library,Guangzhou Guangdong 510663)
Abstract:[Purpose/significance]The paper intends to promote the global influence of Chinese scholars'academic articles,and provide better basis for the selection in publishing international articles.[Method/process]Taking Altmetric Top 100 Chinese scientificarticles published from 2013 to 2019 as research samples,the paper makes an statistical analysis on the Altmetrics data and traditional metric data.[Result/conclusion]The results show that the articles focused on medical,biological and social research;they were written mainly by researchers from Chinese Academy of Sciences and 985 universities(Double First-Class)in cooperation with developed countries including Europe and America;they were mainly published in non-paid access international journal with high impact factors,which were discussed and disseminated on Twitter by the public,and the correlation between Altmetrics score and cited frequency is extremely weak.
Keywords:Altmetrics  scientific article  characteristic  Twitter  cited frequency
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