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

作　　者：陈玮 彭艺 张栋豪 CHEN Wei;PENG Yi;ZHANG Donghao(Journal Editorial Department of Nankai University,Tianjin 300071,China)

机构地区：[1]南开大学学报编辑部,天津300071

出　　处：《天津科技》2024年第1期55-57,61,共4页Tianjin Science & Technology

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。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 

分 类 号：G237.5[文化科学]