6
IRUS TotalDownloads
Altmetric
Cancer datasets and the SARS-CoV-2 pandemic: establishing principles for collaboration
File | Description | Size | Format | |
---|---|---|---|---|
Cancer datasets and the SARS-CoV-2 pandemic establishing principles for collaboration.pdf | Published version | 327.43 kB | Adobe PDF | View/Open |
Title: | Cancer datasets and the SARS-CoV-2 pandemic: establishing principles for collaboration |
Authors: | Palmieri, C Palmer, D Openshaw, PJM Baille, JK Semple, MG Turtle, L |
Item Type: | Journal Article |
Issue Date: | 25-May-2020 |
Date of Acceptance: | 7-May-2020 |
URI: | http://hdl.handle.net/10044/1/84600 |
DOI: | 10.1136/esmoopen-2020-000825 |
ISSN: | 2059-7029 |
Publisher: | BMJ Publishing Group |
Start Page: | 1 |
End Page: | 3 |
Journal / Book Title: | ESMO Open |
Volume: | 5 |
Issue: | 3 |
Copyright Statement: | © Author (s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ on behalf of the European Society for Medical Oncology. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and any changes made are indicated. See: https://creativecommons.org/licenses/by/4.0/. |
Keywords: | Science & Technology Life Sciences & Biomedicine Oncology cancer COVID-19 principles COVID-19 cancer principles Betacoronavirus Coronavirus Infections Humans Neoplasms New York City Pandemics Pneumonia, Viral Prognosis SARS Virus Humans SARS Virus Pneumonia, Viral Coronavirus Infections Neoplasms Prognosis New York City Pandemics Betacoronavirus Science & Technology Life Sciences & Biomedicine Oncology cancer COVID-19 principles |
Publication Status: | Published |
Article Number: | ARTN e000825 |
Online Publication Date: | 2020-05-25 |
Appears in Collections: | National Heart and Lung Institute Imperial College London COVID-19 |
This item is licensed under a Creative Commons License