基于数据支撑的高校理科学报"深体检"方法研究——以《南开大学学报(自然科学版)》为例
Research on"Deep Physical Examination"of Science Journals of Universities Supported by Data:Taking Acta Sci Natur Univer Nankai as an Example
陈玮 1彭艺 1张栋豪1
作者信息
- 1. 南开大学学报编辑部 天津 300071
- 折叠
摘要
针对学界关注的提高高校学报的学术质量问题,提出了对高校学报进行"深体检"的方法,并以《南开大学学报(自然科学版)》为例,从作者分布、服务质量及报道方向这 3 个方面开展深度"体检",从中归纳出高校学报的改进措施.该方法有一定的普适性,适用于国内大部分高校理科学报.
Abstract
How to improve the academic quality of university journals is the focus of the academic community.This paper puts forward a method for in-depth physical examination of university journals.Taking Acta Sci Natur Univer Nankai as an example,the author distribution,service quality and reporting direction are examined,and improvement measures for university journals are summarized.This method is applicable to most of university science journals in China.
关键词
高校学报/期刊学术质量/作者分布/服务质量/报道方向Key words
university journals/academic quality of journals/author distribution/service quality/reporting direction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据