摘要
为研究《贵州大学学报(自然科学版)》高被引论文特征,采用文献计量方法统计研究数据,通过百分比方法确定高被引论文,论文基于高被引论文本身(论文类型、学科分布、基金资助情况、论文篇幅、参考文献数量)和作者情况(作者单位数量及第一作者单位类型、作者数量、第一作者职称学历)两大方面分析了《贵州大学学报(自然科学版)》2011—2020年发表的74篇高被引论文特征。研究结果表明:74篇高被引论文总被引1801次,论文本身方面以研究型论文(49篇)、计算机技术科学(23篇)、国家自然科学基金(38篇)、篇幅4~5页(41篇)、参考文献数量1~10篇(33篇)数量居多;论文作者方面以作者单位数量1个(41篇)、作者数量2~4个(50篇)、本科高校(67篇)、在读研究生(41)数量居多。研究结果可为编辑人员在今后的期刊选题策划和组稿选稿等工作中提供参考。
In order to study the characteristics of highly cited papers of Journal of Guizhou University(Natural Sciences),the bibliometric method was used to collect research data,and the highly cited papers were determined by percentage method.This paper analyzes the characteristics of 74 highly cited papers published in Journal of Guizhou University(Natural Sciences)from 2011 to 2020 based on two aspects:the papers themselves(paper types,subject distribution,fund type,number of pages,number of references)and the authors(number of author affiliations and first author affiliations,number of authors,the professional title and educational background of first author).The results show that 74 highly cited papers are cited 1801 times in total.Most of the papers are characterized by the paper type of research papers(49 pieces),the research subject of computer science(23 pieces),the fund resource of National Natural Science Foundation(38 pieces),the length of 4-5 pages(41 pieces),and the number of references 1 to 10(33 pieces).Also,in most papers,the number of author affiliations is 1(41 pieces),the number of authors are 2~4(50 pieces),among whom most are college undergraduates(67 pieces),and postgraduates(41 pieces).This study can provide references for the topic selection,planning and soliciting contributions in the future.
作者
于慧梅
杨洋
马成燕
YU Huimei;YANG Yang;MA Chengyan(Journal Editorial Department,Guizhou University,Guiyang 550025,China;School of Economics,Guizhou University,Guiyang 550025,China)
出处
《贵州大学学报（自然科学版）》
2024年第1期119-124,共6页
Journal of Guizhou University:Natural Sciences
基金
2023年度贵州大学人文社会科学资助项目(GDZX2023015,GDZX2023014)。
