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【目的】探讨利用中国知网大数据优化科技期刊的选题策划,以提高科技期刊的影响力。【方法】以《中国实用内科杂志》“急性胰腺炎的诊治”选题策划为例,介绍该期选题背景、如何利用资源总库文献检索系统中的被引频次和下载频次判断研究热点、利用中国知网的学术趋势搜索模块验证选题策划以及检索功能确定撰稿专家等过程,并分享经验体会。【结果】急性胰腺炎选题刊出后受到了读者及作者的广泛欢迎,大份发行增加了3000册,出售单行本3000份,同时中国知网显示下载量和被引频次增加显著。【结论】《中国知网》大数据对科技期刊编辑了解学科热点、了解学科发展态势和发展方向提供了辅助信息,并为选取合适的约稿专家提供了线索。
【Objective】 To explore the selection and optimization of scientific journals by using CNKI big data to enhance the influence of scientific journals. [Methods] Taking the planning of “Practical Journal of Chinese Medicine” and “Diagnosis and Treatment of Acute Pancreatitis” as an example, this paper introduces the background of this period, and how to make use of the cited frequency and download frequency judgment in the database system Hot spots, the use of Chinese nets academic trend search module to verify the selection of topics as well as the search function to determine the writing expert process, and share experience. [Results] After the publication of Acute Pancreatitis, readers and authors were widely welcomed. The major issue increased by 3,000 copies and the number of copies of the booklet was 3,000. Meanwhile, CNHIC showed that the download volume and citation frequency increased significantly. 【Conclusion】 The “CNKI” big data provides supplementary information for the editors of sci-tech periodicals to understand the hot issues of disciplines, understand the development trend and development direction of disciplines, and provide clues for selecting suitable experts for the drafts.