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Meta分析在非医学领域的应用
引用本文:王琪,于琦,唐奥. Meta分析在非医学领域的应用[J]. 中华医学图书情报杂志, 2019, 28(5): 50-55
作者姓名:王琪  于琦  唐奥
作者单位:山西医科大学管理学院,山西 太原 030000,山西医科大学管理学院,山西 太原 030000,山西医科大学管理学院,山西 太原 030000
基金项目:国家自然科学基金资助项目“基于多元分析的科研文献微观实体评价理论与实证研究—以生物医学为例 ”(71573162);山西省重点研发计划(社会发展领域)项目“基于系统思维的转录组大数据药物重定位模型构建及临床应用”(201803D31067)
摘    要:目的:揭示近10年Meta分析在非医学领域的研究主题,为Meta分析相关科研人员的选题和今后研究方向提供参考。方法:采用共词聚类分析法,通过CNKI检索2008-2017年核心期刊、CSSCI和CSCD中非医学领域的Meta分析的文献,统计文献的高频主题词。利用Bicomb 2.0软件构建高频关键词矩阵,并导入SPSS 22.0进行共词聚类分析。结果:目前Meta分析在非医学领域主要应用于为心理健康、老年人、教育等社会问题提供支持决策,提升农作物产量与企业经济效益等方面。结论:近10年Meta分析在非医学领域的研究主要集中于社会问题、农业和企业效益3个方面。

关 键 词:Meta分析;共词聚类分析;统计分析;非医学领域
收稿时间:2019-03-25

Application of meta-analysis in non-medical fields
WANG Qi,YU Qi and TANG Ao. Application of meta-analysis in non-medical fields[J]. Chinese Journal of Medical Library and Information Science, 2019, 28(5): 50-55
Authors:WANG Qi  YU Qi  TANG Ao
Affiliation:Shanxi Medical University Management School, Taiyuan 030000, Shanxi Province, China,Shanxi Medical University Management School, Taiyuan 030000, Shanxi Province, China and Shanxi Medical University Management School, Taiyuan 030000, Shanxi Province, China
Abstract:Objective To provide the reference for meta-analysis-related scientific researchers to select their research topics and decide their coming research interests by revealing the past 10-year research topics on meta-analysis in non-medical fields. Methods The meta-analysis in non-medical fields were retrieved from the CNKI-covered core journals in 2008-2017, CSSCI and CSCD with the high frequency subject headings recorded. A matrix of high frequency key words was established using Bicomb2.0, which was led into SPSS 22.0 for co-words cluster analysis. Results The meta-analysis in non-medical fields is mainly applied in decision-making of social problems in mental health, elderly persons and education, and in crop yield and economic benefits of enterprises for their improvement. Conclusion The studies in the past 10 years on meta-analysis in non-medical fields are centralized on social problems, agriculture and economic benefits of enterprises.
Keywords:Meta-analysis   Co-words analysis   Statistical analysis   Non-medical fields
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