中国科技期刊研究 ›› 2019, Vol. 30 ›› Issue (5): 494-499.doi: 10.11946/cjstp.201812041069

• 质量建设 • 上一篇    下一篇

Altmetrics应用于科技期刊评价的问题与优化路径

黄笑炎1),张业安1,2)()   

  1. 1) 上海体育学院传媒与艺术学院,上海市杨浦区清源环路650号 200438
    2)上海体育学院期刊中心,上海市杨浦区清源环路650号 200438
  • 收稿日期:2018-12-04 修回日期:2019-02-16 出版日期:2019-05-15 发布日期:2019-05-31
  • 通讯作者: 张业安 E-mail:124389652@qq.com
  • 作者简介:黄笑炎(ORCID:0000-0003-3268-1632),硕士研究生,E-mail: 858333062@qq.com
  • 基金资助:
    2018年上海体育学院发展规划处资助项目“体育学科与体育学术期刊共促发展的理论机制与实践模式研究”(fzgh20181001)

Problems and optimization paths of applying Altmetrics to the evaluation of scientific journals

HUANG Xiaoyan1),ZHANG Yean1,2)()   

  1. 1) School of Media and Art, Shanghai University of Sport, 650 Qingyuanhuan Road, Yangpu District, Shanghai 200438, China
    2) Periodical Press of Shanghai University of Sport, 650 Qingyuanhuan Road, Yangpu District, Shanghai 200438, China
  • Received:2018-12-04 Revised:2019-02-16 Online:2019-05-15 Published:2019-05-31
  • Contact: ZHANG Yean E-mail:124389652@qq.com

摘要:

【目的】 分析Altmetrics应用于科技期刊评价的优势与问题,为完善我国科技期刊评价体系提供参考。【方法】 基于当前以影响因子为核心的引文评价方式存在的现实问题,提出Altmetrics应用于科技期刊评价的优势、问题与优化路径。【结果】 Altmetrics在科技期刊评价中具有信息源丰富、覆盖面广阔等优势,但也存在评价指标体系不统一、难以反映学术影响力、无法精准测量社交媒体的情绪表达、本土化评价体系亟待建立等问题。【结论】 Altmetrics应与传统科技期刊评价方法相结合,通过引入多元化的替代计量指标,构建整合的通用化评估模型,开发适用于我国社交媒体的替代计量工具,以更加准确、全面地评价科技期刊的影响力。

关键词: Altmetrics, 期刊评价, 情绪表达, 社会影响力, 社交媒体, 影响因子

Abstract:

[Purposes] This paper aims to analyze the advantages and problems of Altmetrics applied to the evaluation of scientific journals, and provide reference for improving the evaluation system of scientific journal in China. [Methods] Based on the problems existing in citation evaluation of scientific journals, which were dominated by impact factors, we put forward the advantages, problems, and optimization paths of Altmetrics applied to the evaluation of scientific journals. [Finding] Although Altmetrics has the advantages of abundant information sources and wide coverage in the evaluation of scientific journals, it also has problems such as inconsistent evaluation index system, difficulty in reflecting academic influence, inability to accurately measure the emotional expression of social media, and urgent need to establish a localized evaluation system. [Conclusions] The Altmetrics should be combined with the traditional evaluation method of scientific journals. We should evaluate the influence of scientific journals more accurately and comprehensively by introducing diversified Altmetrics indicators, establishing an integrated and universal evaluation model, and developing Altmetrics tools suitable for China's social media.

Key words: Altmetrics, Journal evaluation, Emotional expression, Social influence, Social media, Impact factor