中国科技期刊研究 ›› 2017, Vol. 28 ›› Issue (2): 171-175. doi: 10.11946/cjstp.201605170413

• 评价与分析 • 上一篇    下一篇

基于引文与载文指标的中国科普领域核心期刊分析

栾春娟, 黄 福, 李红林, 侯海燕   

  1. 栾春娟 - 大连理工大学公共管理与法学学院暨WISE实验室,大连凌工路2号 116024; 大连理工大学知识产权学院,盘锦大工路2号 124221
    黄 福 - 大连理工大学公共管理与法学学院暨WISE实验室,大连凌工路2号 116024
    李红林 - 中国科普研究所,北京市海淀区学院南路86号 100081
    侯海燕 - 大连理工大学公共管理与法学学院暨WISE实验室,大连凌工路2号 116024
  • 收稿日期:2016-05-17 修回日期:2017-01-11 出版日期:2017-02-15 发布日期:2017-02-15
  • 基金资助:
    国家自然科学基金项目“技术会聚网络结构探测与新兴趋势识别的理论方法及其应用研究”(项目编号:71473028);中国科普研究所课题“科普研究核心期刊分析”(2015-2016)

Core journals in the area of popularization of science based on citations and publications

LUAN Chunjuan, HUANG Fu, LI Honglin, HOU Haiyan   

  1. LUAN Chunjuan - School of Public Admininstration and Law, WISE Lab, Dalian University of Technology, 2 Linggong Road, Dalian 116024, China;School of Intellectual Property, Dalian University of Technology, 2 Dagong Road, Panjin, 124221, China
    HUANG Fu - School of Public Admininstration and Law, WISE Lab, Dalian University of Technology, 2 Linggong Road, Dalian 116024, China
    LI Honglin - Chin
  • Received:2016-05-17 Revised:2017-01-11 Online:2017-02-15 Published:2017-02-15

摘要: 【目的】探索中国科普领域核心期刊,帮助了解科普事业发展的理论支撑和科普文章发表的主要阵地,进而有针对性地采取措施,推动中国科普期刊的建设和发展。【方法】 主要采用引文分析方法和载文统计方法。基于引文分析的科普主题文献来源于CSSCI数据库;基于载文统计的科普主题文献来源于CNKI数据库。【结果】 基于CSSCI引文分析的科普主题文献被引频次最高的10本中文期刊,将其称为中国科普领域高被引核心期刊;基于CNKI数据的科普主题文献载文量最高的10本中文期刊,除了已经进入中国科普领域高被引核心期刊阵营的两本之外,将其余8本期刊称为中国科普领域高载文核心期刊。【结论】 中国科普领域高被引核心期刊,为中国科普事业的发展发挥着提供理论支撑的作用,应更多地吸收全球科普发展的理论和实践经验;中国科普领域高载文核心期刊,是中国科普文章发表的主要阵地,今后应该更加注重提高科普文章的质量。

Abstract: [Purposes]This paper aims at exploring core journals in the area of Chinese science popularization, which could help us understand the theory support and main position of Chinese science popularization activities. Furthermore, it will help us take proper measures to improve the construction and development of Chinese science popularization journals.[Methods]Citation analysis and publication statistics have been employed to conduct the study. Data for citation analysis was collected from CSSCI database; data for publication statistics was exported from CNKI database.[Findings] Core journals with high citations are derived with citation analysis by analyzing CSSCI data, and core journals with most publications are collected with publication analysis by analyzing CNKI data.[Conclusions] Core journals with high citations are supporting the development of Chinese science popularization activities, so they should absorb more related knowledge from worldwide; core journals with most publications hold main positions for publishing science popularization papers, so they should improve their qualities.