大气污染与人群健康关系研究的文献计量学分析
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摘要
目的分析大气污染与人群健康关系研究文献的特点及主题,为该领域研究提供参考。方法以Web of Science、CNKI、万方医学等数据库为数据来源,检索1900—2017年大气污染与人群健康关系研究的中英文文献,使用NoteExpress、Endnote软件结合Python语言对文献进行批处理,选用文献计量可视化分析软件CiteSpace、VOSviewer,结合统计软件Excel进行文献计量分析。结果大气污染与人群健康关系方面的英文文献量逐年增多,2015—2017年为6 001篇,多于2011年以前载文的总和。我国在该领域发表的SCI收录论文数量(2 173篇)位列世界第二。出现频次位列前3的英文文献关键词为air pollution(10 671次)、health(4 703次)、exposure(3 482次),中文文献关键词为大气污染(2 593次)、空气污染(1 869次)、PM2.5(1 244次);中心度居首的英文和中文文献关键词分别为"particulate matter"(颗粒物,中心度:0.15)和"人体健康"(中心度:0.25)。以1年为尺度的时区视图显示,1991—2017年英文文献研究热点经历了由paricle至ultrafine的细化,中文文献研究热点依次经历了大气污染物、挥发性有机物、多环芳烃、甲醛、SO_2、O_3、重金属和PM_(2.5)的变化。国内相关领域研究较国外范围略窄,还有提升空间。结论我国在该领域的发文数量已经进入世界前列,学术生产力仍需提高,未来可针对该领域文献的研究热点开展深层次有针对性的研究。
Objective To quantitatively analyze the characteristics and hot topics of correlation between air pollution and human health by bibliometric analysis. Methods The papers on air pollution and health were retrieved from WOS,CNKI and Wanfang Database,and analyzed by the bibliometric visualization analysis softwares,CiteSpace and VOSviewer,the literature management softwares,NoteExpress,Endnote,Python and the statistical software Excel. Results The amount of literature on air pollution and human health had been increasing significantly,6 001 articles were published in 2015-2017,more than the total before 2011.China ranked second(2 173 articles) in the number of SCI papers published in this field.The top three key words of the English literature with the highest frequency were air pollution(10 671),health(4 703) and exposure(3 482). The top three key words were atmospheric pollution(2 593),air pollution(1 869) and PM2.5(1 244) for Chinese literatures;The key words of the English and Chinese literatures with the highest center degree were "particulate matter"(0.15) and "human health"(0.25),respectively. The 1-year time zone view showed that from 1991 to 2017,English literature research hotspots experienced the refinement from paricle to ultrafine,while Chinese literature research hotspots experienced the changes from atmospheric pollutants,volatile organic compounds,polycyclic aromatic hydrocarbons,formaldehyde,SO_2,O_3,heavy metals to PM_(2.5). Domestic research in related fields was narrower than that in foreign countries,and there still needed to be improved. Conclusion The number of articles published in this field in China has entered the forefront of the countries,but the academic productivity still needs to be improved. In the future,in-depth targeted research can be carried out on the research hotspots in this field.
Objective To quantitatively analyze the characteristics and hot topics of correlation between air pollution and human health by bibliometric analysis. Methods The papers on air pollution and health were retrieved from WOS,CNKI and Wanfang Database,and analyzed by the bibliometric visualization analysis softwares,CiteSpace and VOSviewer,the literature management softwares,NoteExpress,Endnote,Python and the statistical software Excel. Results The amount of literature on air pollution and human health had been increasing significantly,6 001 articles were published in 2015-2017,more than the total before 2011.China ranked second(2 173 articles) in the number of SCI papers published in this field.The top three key words of the English literature with the highest frequency were air pollution(10 671),health(4 703) and exposure(3 482). The top three key words were atmospheric pollution(2 593),air pollution(1 869) and PM2.5(1 244) for Chinese literatures;The key words of the English and Chinese literatures with the highest center degree were "particulate matter"(0.15) and "human health"(0.25),respectively. The 1-year time zone view showed that from 1991 to 2017,English literature research hotspots experienced the refinement from paricle to ultrafine,while Chinese literature research hotspots experienced the changes from atmospheric pollutants,volatile organic compounds,polycyclic aromatic hydrocarbons,formaldehyde,SO_2,O_3,heavy metals to PM_(2.5). Domestic research in related fields was narrower than that in foreign countries,and there still needed to be improved. Conclusion The number of articles published in this field in China has entered the forefront of the countries,but the academic productivity still needs to be improved. In the future,in-depth targeted research can be carried out on the research hotspots in this field.
引文
[1]International Agency for Research on Cancer.Air pollution and cancer[EB/OL].IARC Scientific Publication No.161.2013.http://publications.iarc.fr/Book-And-Report-Series/Iarc-ScientificPublications/Air-Pollution-And-Cancer-2013.
[2]国务院.国务院关于印发大气污染防治行动计划的通知[EB/OL].(2013-09-10).http://www.gov.cn/zwgk/2013-09/12/content_2486773.htm.
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[4]Chen C.Science mapping:a systematic review of the literature[J].JData Inf Sci,2017,2:1-40.
[5]Centre for Science and Technology Studies,Leiden University,The Netherlands.VOSviewer[EB/OL].http://www.vosviewer.com/,2017-2-1
[6]Chen C.CiteSpace II:detecting and visualizing emerging trends and transient patterns in scientific literature[J].J Am Soc Inf Sci Technol,2006,57:359-377.
[7]Chen C.Searching for intellectual turning points:Progressive Knowledge Domain Visualization.Proceedings of the National Academy of Sciences of the United States of America(PNAS),2004,101(Suppl.1),5303-5310.
[8]李玉洁,雷蕾,刘栩岑,等.2003-2013年国内生物医学类科技期刊可吸入颗粒物相关研究文献分析[J].中国实验方剂学杂志,2015,21(3):1-5.
[9]蔡泽,玉琳,刘珊,等.基于SCI的内分泌干扰物复合暴露研究的文献计量学分析[J].环境与健康杂志,2016,33(4):355-358.
[10]陈悦,陈超美,胡志刚,等.引文空间分析原理与应用:CiteSpace实用指南[M].北京:科学出版社,2014.
[2]国务院.国务院关于印发大气污染防治行动计划的通知[EB/OL].(2013-09-10).http://www.gov.cn/zwgk/2013-09/12/content_2486773.htm.
[3]Chen C,Ibekwe-SanJuan F,Hou JH,et al.The structure and dynamics of co-citation clusters:a multiple-perspective co-citation analysis[J].J Am Soc Inf Sci Technol,2010,61:1386-1409.
[4]Chen C.Science mapping:a systematic review of the literature[J].JData Inf Sci,2017,2:1-40.
[5]Centre for Science and Technology Studies,Leiden University,The Netherlands.VOSviewer[EB/OL].http://www.vosviewer.com/,2017-2-1
[6]Chen C.CiteSpace II:detecting and visualizing emerging trends and transient patterns in scientific literature[J].J Am Soc Inf Sci Technol,2006,57:359-377.
[7]Chen C.Searching for intellectual turning points:Progressive Knowledge Domain Visualization.Proceedings of the National Academy of Sciences of the United States of America(PNAS),2004,101(Suppl.1),5303-5310.
[8]李玉洁,雷蕾,刘栩岑,等.2003-2013年国内生物医学类科技期刊可吸入颗粒物相关研究文献分析[J].中国实验方剂学杂志,2015,21(3):1-5.
[9]蔡泽,玉琳,刘珊,等.基于SCI的内分泌干扰物复合暴露研究的文献计量学分析[J].环境与健康杂志,2016,33(4):355-358.
[10]陈悦,陈超美,胡志刚,等.引文空间分析原理与应用:CiteSpace实用指南[M].北京:科学出版社,2014.