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Volumn 290, Issue 2, 2021, Pages 480-483

The development of preprints during the COVID-19 pandemic

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PREDICTION; CORONAVIRUS DISEASE 2019; DATA ANALYSIS; DATA QUALITY; EDITORIAL; HUMAN; INFORMATION PROCESSING; MACHINE LEARNING; MEDICAL RESEARCH; PANDEMIC; PUBLICATION; TIME FACTOR; TREND STUDY; DATA BASE; JOURNAL IMPACT FACTOR; PUBLISHING;

EID: 85100722373     PISSN: 09546820     EISSN: 13652796     Source Type: Journal    
DOI: 10.1111/joim.13240     Document Type: Editorial
Times cited : (15)

References (12)
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    • Analysis of scientific publications during the early phase of the COVID-19 pandemic: topic modeling study
    • Älgå A, Eriksson O, Nordberg M. Analysis of scientific publications during the early phase of the COVID-19 pandemic: topic modeling study. J Med Internet Res. 2020;22:e21559.
    • (2020) J Med Internet Res , vol.22
    • Älgå, A.1    Eriksson, O.2    Nordberg, M.3
  • 4
    • 85099711763 scopus 로고    scopus 로고
    • A bibliometric analysis using VOSviewer of publications on COVID-19
    • Yu Y, Li Y, Zhang Z, Gu Z, Zhong H, Zha Q, et al. A bibliometric analysis using VOSviewer of publications on COVID-19. Ann Trans Med. 2020;8:816.
    • (2020) Ann Trans Med , vol.8 , pp. 816
    • Yu, Y.1    Li, Y.2    Zhang, Z.3    Gu, Z.4    Zhong, H.5    Zha, Q.6
  • 5
    • 85095765344 scopus 로고    scopus 로고
    • Scientific quality of COVID-19 and SARS CoV-2 publications in the highest impact medical journals during the early phase of the pandemic: A case control study
    • Zdravkovic M, Berger-Estilita J, Zdravkovic B, Berger D. Scientific quality of COVID-19 and SARS CoV-2 publications in the highest impact medical journals during the early phase of the pandemic: A case control study. PLoS One. 2020;15:e0241826.
    • (2020) PLoS One , vol.15
    • Zdravkovic, M.1    Berger-Estilita, J.2    Zdravkovic, B.3    Berger, D.4
  • 7
    • 85098841636 scopus 로고    scopus 로고
    • An alarming retraction rate for scientific publications on Coronavirus Disease COVID-19
    • Yeo-Teh NSL, Tang BL, An alarming retraction rate for scientific publications on Coronavirus Disease COVID-19. Account Res. 2019;2020:1–7.
    • (2019) Account Res , vol.2020 , pp. 1-7
    • Yeo-Teh, N.S.L.1    Tang, B.L.2
  • 8
    • 85083004294 scopus 로고    scopus 로고
    • Early in the epidemic: impact of preprints on global discourse about COVID-19 transmissibility
    • Majumder MS, Mandl KD. Early in the epidemic: impact of preprints on global discourse about COVID-19 transmissibility. Lancet Global Health. 2020;8:e627–30.
    • (2020) Lancet Global Health , vol.8 , pp. e627-e630
    • Majumder, M.S.1    Mandl, K.D.2
  • 11
    • 85092680885 scopus 로고    scopus 로고
    • Preprints during the COVID-19 pandemic: public health emergencies and medical literature
    • Guterman EL, Braunstein LZ. Preprints during the COVID-19 pandemic: public health emergencies and medical literature. J Hosp Med. 2020;15:634–6.
    • (2020) J Hosp Med , vol.15 , pp. 634-636
    • Guterman, E.L.1    Braunstein, L.Z.2
  • 12
    • 85089745841 scopus 로고    scopus 로고
    • The myth of generalisability in clinical research and machine learning in health care
    • Futoma J, Simons M, Panch T, Doshi-Velez F, Celi LA. The myth of generalisability in clinical research and machine learning in health care. Lancet Digital Health. 2020;2:e489–92.
    • (2020) Lancet Digital Health , vol.2 , pp. e489-e492
    • Futoma, J.1    Simons, M.2    Panch, T.3    Doshi-Velez, F.4    Celi, L.A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.