中国科技期刊研究 ›› 2019, Vol. 30 ›› Issue (7): 789-794.doi: 10.11946/cjstp.201903040137

• 评价与分析 • 上一篇    下一篇

综述论文对影响因子的影响分析——兼析高被引综述论文特征

袁国瑞1),邓履翔2)()   

  1. 1) 中南大学材料科学与工程学院,湖南省长沙市岳麓区麓山南路932号 410083
    2) 中南大学出版社《交通安全与环境(英)》编辑部,湖南省长沙市岳麓区麓山南路932号 410083
  • 收稿日期:2019-03-04 修回日期:2019-04-04 出版日期:2019-07-15 发布日期:2019-07-23
  • 通讯作者: 邓履翔 E-mail:lxdeng@163.com
  • 作者简介:袁国瑞(ORCID:0000-0002-6956-6243),学士,E-mail: yuangr@163.com。

Influence of review articles on impact factor: Analysis on the highly cited review articles

YUAN Guorui1),DENG Lüxiang2)()   

  1. 1) School of Materials Science and Engineering, Central South University, 932 South Lushan Road, Yuelu District, Changsha 410083, China
    2) Editorial Office of Transportation Safety and Environment, Central South University Press, 932 South Lushan Road, Yuelu District, Changsha 410083, China
  • Received:2019-03-04 Revised:2019-04-04 Online:2019-07-15 Published:2019-07-23
  • Contact: DENG Lüxiang E-mail:lxdeng@163.com

摘要:

【目的】 探讨综述论文对影响因子的影响,分析高被引论文的特征,帮助编辑提高对高被引综述论文的理解。【方法】 以国内材料学SCI收录期刊和国外材料陶瓷类SCI收录期刊为例,引入正、负贡献两个变量,并采用t检验来分析综述论文对影响因子的影响,进而分析高被引综述论文的特征。【结果】 部分综述论文给期刊影响因子的提升带来负贡献;高被引综述论文的特点在于主题为时下研究热点、作者为相关领域高被引作者且在某一时间段内连续发表多篇同方向论文。【结论】 分析结果能帮助编辑更准确地把握择选高被引综述论文。

关键词: 综述论文, 影响因子, SCI, 高被引论文, 正/负贡献, t检验

Abstract:

[Purposes] This paper aims to provide assistance for editors to further understand the influence of review articles on impact factor and the feature of highly cited review articles. [Methods] Taking SCI journals in the domestic materials and the SCI journals of foreign materials ceramics as examples, we analyzed the influence of review articles on impact factor by introducing positive/negative contribution and t-test method, and then analyzed the features of the highly cited review articles. [Findings] Some review articles bring negative contribution to the improvement of journal impact factor; highly cited articles generally belong to current research hotpot and are written by highly cited authors who have published many articles in the past few years in the same field. [Conclusions] The results help editors to precisely make a decision on how to choose highly cited review articles.

Key words: Review article, Impact factor, SCI, Highly cited article, Positive/negative contribution, t-test