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Big data papers and COVID-19: a “false friend” for academic surgeons

Detalles Bibliográficos
Autores principales: Picciariello, A., Altomare, D. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883963/
https://www.ncbi.nlm.nih.gov/pubmed/33590439
http://dx.doi.org/10.1007/s10151-020-02382-8
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author Picciariello, A.
Altomare, D. F.
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Altomare, D. F.
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spelling pubmed-78839632021-02-16 Big data papers and COVID-19: a “false friend” for academic surgeons Picciariello, A. Altomare, D. F. Tech Coloproctol Correspondence Springer International Publishing 2021-02-15 2021 /pmc/articles/PMC7883963/ /pubmed/33590439 http://dx.doi.org/10.1007/s10151-020-02382-8 Text en © Springer Nature Switzerland AG 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Correspondence
Picciariello, A.
Altomare, D. F.
Big data papers and COVID-19: a “false friend” for academic surgeons
title Big data papers and COVID-19: a “false friend” for academic surgeons
title_full Big data papers and COVID-19: a “false friend” for academic surgeons
title_fullStr Big data papers and COVID-19: a “false friend” for academic surgeons
title_full_unstemmed Big data papers and COVID-19: a “false friend” for academic surgeons
title_short Big data papers and COVID-19: a “false friend” for academic surgeons
title_sort big data papers and covid-19: a “false friend” for academic surgeons
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883963/
https://www.ncbi.nlm.nih.gov/pubmed/33590439
http://dx.doi.org/10.1007/s10151-020-02382-8
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