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科技论文作者选取关键词行为分析——以《计算机系统应用》为例
引用本文:孙君艳,张重毅,方梅.科技论文作者选取关键词行为分析——以《计算机系统应用》为例[J].编辑学报,2022(5):519-522.
作者姓名:孙君艳  张重毅  方梅
作者单位:中国科学院软件研究所期刊联合编辑部,100190,北京
基金项目:*中国科学院科学出版基金(传播字[2020]5号)
摘    要:

关 键 词:科技期刊  行为分析  关键词选取  文献检索  影响力  研究热点

Analysis of keyword selection of authors from scientific papers:taking Computer Systems and Applications as an example
SUN Junyan,ZHANG Zhongyi,FANG Mei.Analysis of keyword selection of authors from scientific papers:taking Computer Systems and Applications as an example[J].Acta Editologica,2022(5):519-522.
Authors:SUN Junyan  ZHANG Zhongyi  FANG Mei
Institution:Editorial Office of Joint Journals, Institute of Software, Chinese Academy of Sciences, 100190, Beijing, China
Abstract:This paper aims to analyze the behavior and attitude of authors from scientific papers towards keyword selection, investigate the habit of authors in keyword retrieval, and explore the method of keyword optimization. We design a questionnaire about the keyword selection, including keyword retrieval habit, selection method, processing attitude, expectation, etc. Two hundred questionnaires are sent to the authors of Computer Systems and Applications and 152 valid ones are retrieved. In comparison with other modes, authors are inclined to retrieve papers in the subject or keyword mode.71.62% authors pay much attention to keyword selection. 76.97% authors select Keywords only from titles and abstracts. 73.65% authors believe that Keywords are set to reflect the article content and technical points. 79.73% authors have investigated hot Keywords. 89.19% authors think that valid Keywords can increase article display. 93.10% authors hope editorial boards to recommend Keywords. Since authors are lack of effective method, they are powerless in keyword selection. Editors of scientific and technological journals should make in-depth studies in keyword optimization and make efforts together with authors to select more standard and valid Keywords.
Keywords:scientific and technological journals  behavior analysis  Keywords selection  literature retrieval  impact  research hotspots
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