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  • [\'School of Environment, Nanjing Normal University, Nanjing, 210023, China.\', \'State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China.\', \'Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China.\', \'State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China. Electronic address: xqian@nju.edu.cn.\']
?:citedBy
  • -1
?:creator
?:doi
  • S0045-6535(20)31766-510.1016/j.chemosphere.2020.127571
?:doi
?:hasPublicationType
?:journal
  • Chemosphere
is ?:pmid of
?:pmid
?:pmid
  • 32721685
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.435
?:rankingScore_hIndex
  • 197
?:title
  • Heavy metals in submicronic particulate matter (PM1) from a Chinese metropolitan city predicted by machine learning models.
?:type
?:year
  • 2020

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