摘要
目的:预测基于ESI的学科排名。方法:以化学学科为例,分别建立发表文章数量和平均被引频次随时间变化的动力学模型,通过简化模型并给出解析解,并拟合ESI中化学学科的引文数据,最后运用拟合结果对其排名进行预测。结果:用上述模型预测化学学科总被引频次的排名,并预测其之后的排名变化,发现排名靠前的机构排名变化较小,排名靠后的机构名次变化较大。结论:对论文数量和平均被引频次的拟合,表明可以用动力学方程描述各机构发表论文及被引情况,为ESI的统计研究提供一定的理论支持。
Objective To predict the essential science indicators（ ESI）-based ranking of subjects. Methods Dynamic models of published papers were established and the average citation frequency of published papers was calculated with chemical subjects as an example. The models were simplified and analyzed. The ranking of chemical subjects was predicted according to their fitted citation data based on ESI.Results The ranking of chemical subjects according to the established dynamic models of published papers and the average citation frequency of published papers showed that the ranking of the top institutions did not change greatly while that of the other institutions changed significantly.Conclusion The fitted papers and their average citation frequency indicate that dynamic equation can be used to describe the citation of papers published by different institutions,which can thus provide a certain theoretical support for the statistical analysis of ESI.
作者
谭智敏
刘万国
霍速
TAN Zhi-min;LIU Wan-guo;HUO Su(Library of Jilin University,Changchun 130062,Jilin Province,China;Library of Northeast Normal University,Changchun 130024,Jilin Province,China)
出处
《中华医学图书情报杂志》
CAS
2018年第4期67-73,共7页
Chinese Journal of Medical Library and Information Science
基金
国家社会科学基金重点项目"基于云计算的国家数字学术信息资源安全保障体系构建研究"(14ATQ008)研究成果之一
