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Information mining and comparison analysis of PM2.5 periodical paper both in English and Chinese in China / 中华医学科研管理杂志
Chinese Journal of Medical Science Research Management ; (4): 227-230,235, 2017.
Article in Chinese | WPRIM | ID: wpr-620847
ABSTRACT
Objective To explore the information distribution of PM2.5 periodical paper both in English and Chinese in China.Methods Comprehensive analysis result was made based on the overall output of literature,academic attention trend,literature distribution and growth trend,authority institution and author ranking using high volume database,data mining,clustering analysis and visualization technology.Results There has been a rapid rise in the Chinese PM2.5 periodical paper in recent 5 years,with a sharp rise during the year 2011 to 2013 and the biggest rise in 2012.The periodicals that carry Chinese PM2.5 literature are mainly in the subjects of environment,health,resources.Researching organizations are mainly domestic famous comprehensive universities or research institutions.Core journal lists include those of China science and technology information institute,Peking University,and Chinese academy of science.Research terms mainly include PM2.5 air pollution,haze,particulate matter.Compared to the PM2.5 literature in Chinese,there has been slower development of literature in English in recent 5 years.Research organizations mainly include famous comprehensive universities or research institutions,and most of the literature are embodied in SCI,EI and Medline.Conclusions Some certain achievements have been made towards the PM2.5 research in China and the overall academic level of periodical paper is high,laying solid foundation for having a scientific knowledge of PM2.5 and taking countermeasure for haze.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Science Research Management Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Science Research Management Year: 2017 Type: Article