多维学术期刊评价研究——以LIS学科为例
Multi-dimensional academic journal evaluation:A case study of the LIS discipline
杨文霞 1孔嘉 1闫晓慧 1邓三鸿 1章学周2
作者信息
- 1. 南京大学信息管理学院,江苏省南京市栖霞区仙林大道163号 210023;江苏省数据工程和知识服务重点实验室,江苏省南京市栖霞区仙林大道163号 210023
- 2. 江苏省质量和标准化研究院,江苏省南京市秦淮区石鼓路227号 210029
- 折叠
摘要
[目的]基于内容创新力、社会传播力与学术影响力构建三维学术期刊评价指标,并进行实证研究,为学术期刊评价提供新思路.[方法]选择2018年Web of Science中Library and Information Science(LIS)学科期刊中Article类型论文占比≥80%的期刊作为研究对象,先分别计算每种期刊的3个指标得分和综合评分,再对其进行相关性分析、信度分析、效度分析、排序分析、稳健性分析和3个指标分布情况分析.[结果]多维学术期刊评价指标具有合理性、有效性和可靠性;大部分期刊在3个维度的数值都不高,只有少部分期刊在某一个或者某两个维度上数值较高;高社会传播力和学术影响力维度基本以Q1区和Q2区期刊为主,在内容创新力维度上,则是出现多个JCR分区期刊共存的情况.[结论]多维学术期刊评价为期刊评价领域带来的新的研究思路,是对现有评价机制的补充.
Abstract
[Purposes]This paper constructs a three-dimensional academic journal evaluation index based on content innovation,social communication,and academic influence,and conducts empirical research to provide new ideas for academic journal evaluation.[Methods]We selected journals in which article-type papers accounted for≥80%of the subject journals of library and information science in the Web of Science in 2018 as the research objects.First,we calculated the three sub-indexes and comprehensive scores of each journal.Secondly,we analyzed the three sub-indexes and conducted correlation analysis,reliability analysis,validity analysis,ranking analysis,and robustness analysis.[Findings]The multi-dimensional academic journal evaluation index is reasonable,valid,and reliable.Most journals have low numerical values in the three dimensions,and only a few journals have high numerical values in one or two dimensions.In terms of social communication power and academic influence,journals from Q1 and Q2 are basically dominant.In terms of content innovation,a variety of JCR journals coexist.[Conclusions]Starting from a multi-dimensional perspective,it brings new research ideas to journal evaluation,which is a supplement to the existing evaluation mechanism.
关键词
多维学术期刊评价/D指数/Altmetrics指标/JIF5Key words
Multi-dimensional academic journal evaluation/D index/Altmetrics index/JIF5引用本文复制引用
基金项目
国家社会科学基金(19BTQ062)
江苏省研究生科研与实践创新计划(KYCX23_0076)
出版年
2024
NETL
NSTL
万方数据