文章摘要
赵喜,王晓蕴,缪宏建.运用大数据优化选题策划的实践——以《交通医学》为例.编辑学报,2023,(4):447-450
运用大数据优化选题策划的实践——以《交通医学》为例
Optimized topic planning using big data:taking Medical Journal of Communications as an example
  
DOI:10.16811/j.cnki.1001-4314.2023.04.020
中文关键词: 大数据  选题策划  国家自然科学基金项目查询系统  中国知网
英文关键词: big data  topic selection planning  National Natural Science Foundation project inquiry system  China National Knowledge Infrastructure
基金项目:*江苏省期刊协会2022年度立项课题(2022JSQKB39) 
作者单位
赵喜 南通大学《交通医学》杂志编辑部,226019,江苏南通 
王晓蕴 南通大学《交通医学》杂志编辑部,226019,江苏南通 
缪宏建 南通大学《交通医学》杂志编辑部,226019,江苏南通 
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中文摘要:
      以《交通医学》杂志策划“失神经肌萎缩”选题为例,介绍该选题产生的背景;利用国家自然科学基金项目查询系统中失神经肌萎缩的项目数量和资助金额判断该选题的社会价值;再借助中国知网的学术趋势分析服务,分析“学术关注度”和“学术传播度”,验证该选题是否为神经科学的研究热点,并确定选题题目;运用中国知网的检索功能确定与选题相对应的撰稿专家。编辑部运用国家自然科学基金项目查询系统和中国知网中的大数据,实现选题策划由“经验判断”向“数据分析”转变,以期为行业期刊选题策划工作提供新思路和新方法。
英文摘要:
      This paper took the topic of “denervated muscle atrophy” planned by Medical Journal of Communications as an example, firstly introduced the background of this topic;secondly,judged the social value of this topic based on the number of projects and the amount of funding on denervated muscle atrophy in National Natural Science Foundation project inquiry system;thirdly, took the advantage of China National Knowledge Infrastructure (CNKI)academic trend analysis services and analyzed the “Academic Attention Degree” and “Academic Communication Degree” to confirm whether this topic is a hot spot in neuroscience research, so as to define the theme of this topic; Fourthly, identified and determined target experts as guest authors on this theme. Utilizing big data from National Natural Science Foundationproject inquiry system and CNKI, our editorial office transformed the process of topic selection from “experience” to “data analysis”, which might be a new idea or method for other sci-tech journals.
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