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is ?:annotates of
?:authorAffiliation
  • [\'Department of Radiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People\'s Hospital, University of Electronic Science and Technology of China, Chengdu, China.\', \'Department of Critical Care Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People\'s Hospital, University of Electronic Science and Technology of China, Chengdu, China.\', \'The Key Laboratory for Human Disease Gene Study of Sichuan Province, Sichuan Provincial People\'s Hospital, University of Electronic Science and Technology of China, Chengdu, China.\', \'GE Healthcare (China), Beijing, China.\', \'Department of Anesthesiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People\'s Hospital, University of Electronic Science and Technology of China, Chengdu, China.\', \'Department of Cardiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People\'s Hospital, University of Electronic Science and Technology of China, Chengdu, China.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1371/journal.pone.0256194
?:hasPublicationType
?:journal
  • PloS one
is ?:pmid of
?:pmid
?:pmid
  • 35025878
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?:rankingScore_SJR
  • 1.164
?:rankingScore_hIndex
  • 241
?:title
  • Quantitative CT imaging features for COVID-19 evaluation: The ability to differentiate COVID-19 from non- COVID-19 (highly suspected) pneumonia patients during the epidemic period.
?:type
?:year
  • 2022

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