《玉林师范学院学报》2001-2013年高被引论文分析

摘要

Based on the data in database CNKI, we carry out the retrieval statistics on the highly cited papers published inJournal of Yulin Normal University. The results show that highly cited papers mainly cover disciplines like chemical biology, linguistics and computer science; the number of highly cited paper from authors with high professional title and high academic qualification is comparatively small, and no core authors. This indicates that it is difficult forThe Journal to attract high-quality papers; high quality review papers are more likely to have caught the attention of readers. In view of these problems, we should pay close attention to advantageous disciplines, cultivating core authors, and invite high quality review papers.%基于中国知网的相关数据库，对《学报》入库论文(正刊)的高被引情况进行检索统计。结果表明，《学报》高被引论文较多的学科主要有生物学、语言学、化学以及计算机学科；高职称高学历作者所发高被引论文数较少，且没有形成核心作者，说明《学报》难以吸引高质量稿源；高质量综述性论文更容易受到读者关注并引用。针对这些情况，在组稿时，应密切关注高被引论文的优势学科，培养核心作者群，主动邀约高质量综述类论文。