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作 者:朱世琴[1] 苟文静 吕佳霖 ZHU Shiqin;GOU Wenjing;LÜJialin
机构地区:[1]华东理工大学科技信息研究所,上海200237
出 处:《图书情报导刊》2024年第5期44-53,共10页Journal of Library and Information Science
摘 要:通过睡美人文献的论文特征,研究文献遭遇延迟认可的可能原因,丰富睡美人文献研究体系,供学者发文参考,规避成果延迟承认,加速成果认可。以Web of Science核心合集中2000—2009年Biology学科论文为样本数据,综合Bcp指数与三指标法识别睡美人文献,通过差异性检验与因子分析研究文献的论文特征,并构建综合论文特征指标F。研究表明:睡美人文献具有参考文献数量较少和摘要长度较短的论文特征;论文特征中摘要长度、页数、Keyword plus数和参考文献数对睡美人文献影响较大;综合论文特征指标F对睡美人文献具有反向作用,可应用于快速预测睡美人文献。The paper characteristics of sleeping beauty literature are used to study the possible reasons for the delayed recognition of literature,so as to enrich the sleeping beauty literature research system and provide references for scholars to publish papers,avoid delayed recognition and accelerate achievement recognition.Using the“Biology”discipline pa⁃pers from the core collection of Web of Science from 2000 to 2009 as sample data,this paper combines the Bcp index and three indicator method to identify sleeping beauty literature,studies the paper characteristics of literature through differ⁃ence testing and factor analysis,and constructs a comprehensive paper feature indicator F.The results show that the sleep⁃ing beauty literatures have the characteristics of fewer references and shorter abstract length.The length of abstract,the number of pages,the number of Keyword plus and the number of references have great influence on the sleeping beauty lit⁃eratures.The comprehensive paper characteristic index F has a reverse effect on the sleeping beauty literatures and can be used to predict the sleeping beauty literatures quickly.
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