节点文献
2012-2017年F5000计算机科学技术类论文来源及作者的文献计量学研究
Sources and Authors’ Bibliometrics Study of F5000 Computer Science and Technology Papers in 2012-2017
【摘要】 对2012-2017年F5000中计算机科学技术类论文的来源及作者进行文献计量学分析.筛选了2012-2017年入选F5000的计算机科学技术类论文,利用EXCEL2010对论文的来源及作者信息进行统计分析,通过中国知网对论文的一些相关信息进行补充并完善.共选出395篇论文,来自115家单位,其中中国科学院、清华大学等16家高产单位共产出205篇论文,占51.9%.该类论文主要发表在计算机类核心期刊;北京地区产出的论文数量远大于其他省区.论文的合著率为96.2%.明确了2012-2017年F5000中计算机科学技术类论文的机构来源及作者情况,为计算机类科技期刊编辑在组稿、约稿及栏目设置方面提供了方向.
【Abstract】 The bibliometric analysis of the source and author of computer science and technology papers in F5000 from2012 to 2017. The computer science and technology papers selected in F5000 from 2012 to 2017 were screened,and the source and author information were statistically analyzed by EXCEL2010. Some relevant information was supplemented and improved through the China Knowledge Network. A total of 395 papers were selected from 115 units. Among these,16 high-yield units such as the Chinese Academy of Sciences and Tsinghua University produced 205 papers,accounting for 51.9%. These papers were mainly published in computer core journals;the number of papers produced in Beijing was much larger than in other provinces. The co-occurrence rate of the papers was 96.2%. The institutional sources and authors of computer science and technology papers in F5000 from 2012 to 2017 were clarified,which provides direction for the editors of computer science and technology journals in the drafting of manuscripts,drafts and columns.
【Key words】 F5000 platform; Computer papers; Institutions; Number of authors;
- 【文献出处】 内蒙古民族大学学报(自然科学版) ,Journal of Inner Mongolia University for Nationalities(Natural Sciences) , 编辑部邮箱 ,2020年02期
- 【分类号】G353.1;TP3
- 【被引频次】2
- 【下载频次】519