[1]吴雅琴,王晓东.2010-2019年《医学信息学杂志》论文研究热点分析[J].医学信息,2021,34(23):12-15.[doi:10.3969/j.issn.1006-1959.2021.23.003]
　WU Ya-qin,WANG Xiao-dong.Hotspots Analysis of Journal of Medical Informatics from 2010 to 2019[J].Medical Information,2021,34(23):12-15.[doi:10.3969/j.issn.1006-1959.2021.23.003]
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2010-2019年《医学信息学杂志》论文研究热点分析()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
34卷
期数:
2021年23期
页码:
12-15
栏目:
出版日期:
2021-12-01

文章信息/Info

Title:
Hotspots Analysis of Journal of Medical Informatics from 2010 to 2019
文章编号:
1006-1959（2021）23-0012-04
作者:
吴雅琴; 王晓东
（内蒙古医科大学计算机信息学院，内蒙古 呼和浩特 010110）
Author(s):
WU Ya-qin; WANG Xiao-dong
(College of Computer and Information,Inner Mongolia Medical University,Hohhot 010110,Inner Mongolia,China)
关键词:
《医学信息学杂志》; 词频; 高频关键词; 聚类谱系
Keywords:
Journal of Medical Informatics; Word frequency; High frequency keywords; Cluster pedigree
分类号:
R-0
DOI:
10.3969/j.issn.1006-1959.2021.23.003
文献标志码:
A
摘要:
目的 分析《医学信息学杂志》2010-2019年刊载论文的研究热点。方法 在CNKI期刊数据库检索《医学信息学杂志》2010-2019年间发表的文献，运用文献题录信息分析工具统计关键词数量及频次，使用Donohue高频词低频词界分公式确定高频关键词，利用SATI生成高频关键词频次矩阵，并使用SPSS 23.0提供的因子分析和层次聚类分析方法探究各高频关键词之间的内在联系。结果 最终纳入有效文献2599篇；根据Donohue高频词低频词分界公式，最终选定32个高频关键词，包括图书馆、医院信息系统及电子病历等；通过生成的高频关键词矩阵，得到对应的聚类谱系图，32个高频关键词共聚成5类，分别为文献计量知识图谱、图书馆知识服务、信息技术在健康医疗领域的深入应用、信息素养培养研究以及文献检索与科技查新。结论 《医学信息学杂志》2010-2019年发表的论文形成了文献计量知识图谱、图书馆知识服务、信息技术在健康医疗领域的深入应用、信息素养培养研究、文献检索与科技查新5个热点领域。
Abstract:
Objective To analyze the research hotspots of papers published in Journal of Medical Informatics from 2010 to 2019.Methods The literature published in the Journal of Medical Informatics from 2010 to 2019 was searched in the CNKI journal database. The number and frequency of keywords were counted using the literature bibliography information analysis tool. The high-frequency keywords were determined using the Donohue high-frequency word low-frequency word boundary formula. The SATI was used to generate a high-frequency keyword frequency matrix, and the factor analysis and hierarchical clustering analysis methods provided by SPSS 23.0 were used to explore the internal relationship between high-frequency keywords.Results Finally, 2599 valid articles were included; according to the Donohue high-frequency words and low-frequency words boundary formula, 32 high-frequency keywords were finally selected, including libraries, hospital information systems and electronic medical records. Through the generated high-frequency keywords matrix, the corresponding clustering pedigree map was obtained, and 32 high-frequency keywords were clustered into five categories, namely, bibliometric knowledge map, library knowledge service, in-depth application of information technology in the field of health care, information literacy training research and literature retrieval and scientific and technological novelty retrieval.Conclusion The papers published in the Journal of Medical Informatics from 2010 to 2019 have formed five hot areas: bibliometric knowledge map, library knowledge service, in-depth application of information technology in health care, information literacy training research, literature retrieval and sci-tech novelty retrieval.

参考文献/References:

[1]李雯,姜仁贵,解建仓,等.基于文献计量学的城市洪涝灾害研究可视化知识图谱分析[J].西安理工大学学报,2020(4):523-529.[2]杨世玲.国内图书馆联盟研究可视化分析[J].图书情报导刊,2018,3(9):12-18.[3]张文彤,董伟.SPSS统计分析高级教程[M].北京:高等教育出版社,2018:244-253.[4]李杰.科学知识图谱原理及应用[M].北京:高等教育出版社,2018:1-9.[5]Grech V,Rizk DEE.Increasing importance of research metrics: Journal Impact Factor and h-index[J].Int Urogynecol J,2018,29(5):619-620.

更新日期/Last Update: 1900-01-01