中国科技期刊研究 ›› 2020, Vol. 31 ›› Issue (4): 419-424. doi: 10.11946/cjstp.201911220798

• 质量建设 • 上一篇    下一篇

基于CiteSpace的科技期刊选题策划工作模式构建与探索

赵霞1),池营营1),武晓芳2),周小潭1)   

  1. 1) 《防灾减灾工程学报》编辑部,江苏省南京市玄武区卫岗3号 210014
    2) 《地震研究》编辑部,云南省昆明市盘龙区北辰大道 650224
  • 收稿日期:2019-11-22 修回日期:2020-03-24 出版日期:2020-04-15 发布日期:2020-04-15
  • 作者简介:赵 霞(ORCID:0000-0002-1154-1510),博士,副编审,E-mail: oldbump@163.com。|池营营,硕士,编辑。|武晓芳,学士,副编审。|周小潭,学士,编辑。
  • 基金资助:
    中国科学院自然科学期刊编辑研究会项目“基于CiteSpace的选题策划模式研究”(YJH2019035)

Construction and exploration of topic selection and planning mode of scientific journals based on CiteSpace

ZHAO Xia1),CHI Yingying1),WU Xiaofang2),ZHOU Xiaotan1)   

  1. 1) Editorial Office of Journal of Disaster Prevention and Mitigation Engineering, 3 Weigang, Xuanwu District, Nanjing 210014, China
    2) Editorial Office of Journal of Seismological Research, Beichen Street, Panlong District, Kunming 650224, China
  • Received:2019-11-22 Revised:2020-03-24 Online:2020-04-15 Published:2020-04-15

摘要:

【目的】 从编辑的视角将CiteSpace引文可视化软件应用到科技期刊选题策划的具体实践中,以降低编辑在掌握学科前沿、把关稿件质量、选取审稿专家等方面存在的被动性。【方法】 以环境岩土领域为研究对象,CNKI数据库为统计源,对1369条CSCD刊源的文献数据进行可视化分析,并绘制出高频关键词、作者、机构的共现图谱。【结果】 挖掘出的学术研究热点、科研团队的主攻方向和地域分布可为分析选题策划的可行性提供有力依据,专家的验证进一步帮助编辑确定研究主题,制定选题方案。【结论】 CiteSpace软件非常有利于编辑在海量文献中遴选最具价值的选题因素,且其可视化分析可贯穿整个选题策划的工作流程,因此构建基于CiteSpace的科技期刊选题策划工作模式是有意义的。

关键词: 选题策划, CiteSpace, 可行性, 专家验证, 模式

Abstract:

[Purposes] From the view of editors, this paper applies the visualization software of CiteSpace to the practice of the topic selection and planning of scientific journals, in order to reduce the passivity of editors in mastering the frontier of the subject, checking the quality of manuscripts, and selecting peer reviewers.[Methods] Taking environmental geotechnology as the research object and CNKI database as the statistical source, 1369 CSCD document data were visualized and analyzed, and the co-occurrence maps of high frequency keywords, authors, and institutions were drawn.[Findings] The academic research hot-spots, the research team's main direction, and the geographical distribution have provided the advantageous basis for analyzing the feasibility of topic selection and planning, and the expert's verification helps editors to determine research topics and formulate topic selection plans.[Conclusions] It makes sense to build a topic planning model of scientific journals based on CiteSpace, which is very useful for selecting the valuable factors from a large amount of literatures, and whose visual analysis can be carried out throughout the whole topic planning workflow.

Key words: Topic selection and planning, CiteSpace, Feasibility, Expert verification, Mode