• 评论与分析 •

### 基于论文下载与被引分区的学术期刊评价研究

1. 浙江工商大学统计与数学学院,浙江省杭州市江干区学正街18号 310018
• 收稿日期:2021-07-31 修回日期:2021-12-18 出版日期:2022-02-15 发布日期:2022-02-15
• 作者简介:俞立平(ORCID:0000-0001-9079-1165),博士,教授,博士生导师,E-mail: yvliping@126.com;|沈 洁,硕士研究生。
• 基金资助:
国家社会科学基金“学术期刊评价——指标创新与方法研究”(21FTQB016)

YU Liping(), SHEN Jie

1. School of Statistics and Mathematics, Zhejiang Gongshang University, 18 Xuezheng Street, Jianggan District, Hangzhou 310018, China
• Received:2021-07-31 Revised:2021-12-18 Online:2022-02-15 Published:2022-02-15

【目的】 分析论文下载量与被引频次的关系,并探讨其在学术期刊影响力评价中的可行性。【方法】 从期刊论文的被引频次与下载量的关系角度出发,构造反映期刊不同影响力的分区图,具体分为热点影响力、新生影响力、潜在影响力和经典影响力4个分区。在对分区影响力进行分析的基础上,利用36种管理学期刊2017—2018年发表的学术论文进行实证分析,将分区影响力分别与传统文献计量指标进行相关性分析与回归分析。【结果】 基于热点影响力、新生影响力、潜在影响力、经典影响力的分区可提供一种全新的期刊评价视角,各期刊论文在不同分区的比例有差异;管理学期刊热点影响力和新生影响力论文表现良好; h指数、影响因子主要体现热点影响力信息。【结论】 分区影响因子指标可用于学术期刊评价。

Abstract:

[Purposes] This paper analyzes the relationship between paper downloads and cited frequency and discusses whether it is applicable to the impact evaluation of academic journals. [Methods] According to the relationship between cited frequency and paper downloads, we constructed a partition map which reflected the hotspot influence, newborn influence, potential influence, and classical influence of journals. Furthermore, we analyzed the different influence of 36 management journals based on the academic papers published in 2017-2018, and carried out correlation analysis and regression analysis of the different influence and conventional bibliometric indexes. [Findings] It is a brand-new perspective to assess journals based on hotspot influence, newborn influence, potential influence, and classical influence. Papers of different journals performed differently in different influence partitions and most papers of management journals showed high hotspot influence and newborn influence. The h-index and impact factor mainly reflected hotspot influence of journals. [Conclusions] The hotspot influence factor, newborn influence factor, potential influence factor, and classical influence factor are suited to the evaluation of academic journals.