大数据下中文期刊论文被引分析

Citation analysis on Chinese periodicals under big data

为了解中文期刊论文被引情况,用文献计量学的方法对2006~2014年中国知网数据库收录的武汉工程大学期刊论文进行统计,分别从年度被引分布、被引频次对比及《武汉工程大学学报》被引情况等方面进行了系统分析,发现中文期刊论文被引率为62.91%,篇均被引频次2.76次.不同类型、不同学科领域被引用情况不同,反映出武汉工程大学在相关领域研究中的影响力不断提升,科研投入和人才引进战略逐渐收到实效.但自2012年以来,被引率递减加大,零被引篇数增多,需要制定相应鼓励政策,重视期刊论文被引率,进一步提高论文质量.

The papers of Chinese periodicals of Wuhan Institute of Technology in CNKI from 2006 to 2014 were selected to study the citation situation,including annual cited rates distribution, citation frequencies and contrast on cited rates. The results show that the cited rate is 62.91% and the average cited frequency per paper is 2.76. This indicated an improvement of academic impact and a great effect of talent introduction and scientific research input of Wuhan Institute of Technology. However, cited rates have decreased and non-cited rates have increased since 2012, which calls for relevant policy-making, attaching great importance to cited rates and journal quality improvement.