中国科技期刊研究 ›› 2017, Vol. 28 ›› Issue (5): 460-467. doi: 10.11946/cjstp.201701180042

• 评价与分析 • 上一篇    下一篇

我国大陆31个省级行政区社会科学类期刊影响力分析与评价

魏雅慧1,)2),刘雪立1,)3)()   

  1. 1) 新乡医学院河南省科技期刊研究中心,河南省新乡市金穗大道601号 453003
    2) 新乡医学院管理学院,河南省新乡市金穗大道601号 453003
    3) 新乡医学院期刊社,河南省新乡市金穗大道601号 453003
  • 收稿日期:2017-01-18 修回日期:2017-03-17 出版日期:2017-05-15 发布日期:2017-05-15
  • 通讯作者: 刘雪立 E-mail:liueditor@163.com
  • 作者简介:魏雅慧(ORCID:0000-0002-6593-9858),硕士研究生,E-mail: 972139271@qq.com
  • 基金资助:
    河南省高等学校哲学社会科学基础研究重大项目(2015-JCZD-013)

Analysis and evaluation of the influence of social science journals in 31 provinces and cities in mainland China

WEI Yahui1,)2),LIU Xueli1,)3)()   

  1. 1) Henan Research Center for Science Journals, Xinxiang Medical University, 601 Jinsui Road, Xinxiang 453003, China
    2) Management Institute, Xinxiang Medical University, 601 Jinsui Road, Xinxiang 453003, China
    3) Periodicals Publishing House, Xinxiang Medical University, 601 Jinsui Road, Xinxiang 453003, China
  • Received:2017-01-18 Revised:2017-03-17 Online:2017-05-15 Published:2017-05-15
  • Contact: LIU Xueli E-mail:liueditor@163.com

摘要:

【目的】分析和评价我国大陆31个省级行政区社会科学类期刊的影响力。【方法】以我国31个省级行政区的社会科学类期刊为研究对象,对期刊复合影响因子、综合影响因子、影响力指数(CI)、2015年下载量、2015年下载率、基金论文比、期刊分区进行了较为详细的对比分析,探讨各地区期刊的影响力。【结果】标准化CI平均值大于1的省级行政区为北京市(1.446)、上海市(1.355)、重庆市(1.173)、湖北省(1.010),CI值最低的4个省级行政区分别为海南省(0.510)、内蒙古自治区(0.497)、贵州省(0.403)、河北省(0.391);标准化复合影响因子平均值大于1的省级行政区为上海市(1.431)、北京市(1.264)、重庆市(1.210)、四川省(1.035),较低的4个省级行政区为内蒙古自治区(0.562)、贵州省(0.563)、河北省(0.544)、安徽省(0.652)。【结论】我国大陆31个省级行政区期刊发展水平极不平衡,期刊数量和影响力分布与各地区教育、文化、社会发展水平密切相关。

关键词: 社会科学类期刊, 中国大陆, 期刊影响力, 影响力指数, 影响因子

Abstract:

[Purposes] This paper aims to analyze and evaluate the influence of academic journals of social sciences in 31 provinces/municipalities in mainland China.[Methods] Taking the social scientific journals form 31 provinces/municipalities in mainland China as research objects, we made a detailed comparative analysis about composite impact factors, comprehensive impact factors, clout index (CI), downloads in 2015, download rates in 2015, funded papers and journal ranking to explore the influence of journals form different provinces/municipalities. [Findings] The provinces/municipalities which have an average standardized CI more than 1 are Beijing (1.446), Shanghai (1.355), Chongqing (1.173) and Hubei (1.010); the four provinces/municipalities which have the relatively lower average standardized CI are Hainan (0.510), Inner Mongolia (0.497), Guizhou (0.403) and Hebei (0.391). The provinces/municipalities which have an average standardized composite impact factor more than 1 are Shanghai (1.431), Beijing (1.264), Chongqing (1.210) and Sichuan (1.035); the four regions which have the relatively lower standardized composite impact factor are Inner Mongolia (0.562), Guizhou (0.563), Hebei (0.544) and Anhui (0.652). [Conclusions] The development level of 31 provinces/municipalities in mainland China is very uneven, and the number and influence of social scientific journals are closely related to the education, culture and social development level of the corresponding regions.

Key words: Social scientific journals, Mainland China, Journal influence, Clout index, Impact factor