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大气污染与儿童哮喘研究文献计量学分析 被引量:3

Bibliometric analysis of the researches on air pollution and childhood asthma
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摘要 目的分析大气污染与儿童哮喘研究,为后期开展深入研究提供借鉴和指导。方法采用文献计量和数据图谱可视化分析,以2000-2017年Science Citation Index Expanded数据库收录论文为研究对象,从发表和被引时间序列、国家、学科和期刊、研究机构和作者、论文关键词5个方面统计分析。结果论文发表数量和被引次数随时间快速上升;80%高质量杂志和60%研究机构来自美国;期刊发表文献数量与其影响因子线性相关无统计学意义(r=0.39,P=0.221);91%论文来自环境科学和过敏学;出生队列和细颗粒物为近年研究热点。结论大气污染与儿童哮喘研究处于增长期,美国主导该领域研究,研究重点从单一污染物与儿童哮喘关系向复合空气污染和生命历程流行病学扩展。 Objective To analyze the researches on air pollution and childhood asthma bibliometricly,in order to provide implications and guidance for further studies. Method Bibliometrics and data map visualization analysis methods were used,and papers from 2000 to 2017 in the Science Citation Index Expanded database were collected,and were statistically analyzed from five aspects,including published and cited time series,countries,disciplines and periodicals,research institutions and authors,paper keywords. Results The number of papers published and the number of citations rose rapidly over time,80% of high quality magazines and 60%of research institutes came from the United States.There was no statistically significant linear correlation between the number of published journals and the impact factors(r=0.39,P=0.221).And 91% of papers were from environmental science and allergy,birth cohorts and fine particles were hot topics in recent years. Conclusions Researches on air pollution and childhood asthma are on the rise,and the United States has led research in this area.Meanwhile,the research focuses have changed from the relationship between single pollutants and childhood asthma to complex air pollution and epidemiology of life history.
作者 付岭岭 黄凤艳 高瀚 王志萍 FU Ling-ling;HUANG Feng-yan;GAO Han;WANG Zhi-ping(Department of Labor Health and Environmental Medicine,School of Public Health, Shandong University,Jinan ,Shandong ,250012,China)
出处 《中国儿童保健杂志》 CAS 2019年第2期178-182,共5页 Chinese Journal of Child Health Care
基金 国家自然科学基金(81773386)
关键词 大气污染 儿童哮喘 文献计量学 数据图谱可视化 air pollution childhood asthma bibliometrics visualization of data maps
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