Title |
Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study
|
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Published in |
BMC Medicine, January 2021
|
DOI | 10.1186/s12916-020-01893-3 |
Pubmed ID | |
Authors |
Ewan Carr, Rebecca Bendayan, Daniel Bean, Matt Stammers, Wenjuan Wang, Huayu Zhang, Thomas Searle, Zeljko Kraljevic, Anthony Shek, Hang T. T. Phan, Walter Muruet, Rishi K. Gupta, Anthony J. Shinton, Mike Wyatt, Ting Shi, Xin Zhang, Andrew Pickles, Daniel Stahl, Rosita Zakeri, Mahdad Noursadeghi, Kevin O’Gallagher, Matt Rogers, Amos Folarin, Andreas Karwath, Kristin E. Wickstrøm, Alvaro Köhn-Luque, Luke Slater, Victor Roth Cardoso, Christopher Bourdeaux, Aleksander Rygh Holten, Simon Ball, Chris McWilliams, Lukasz Roguski, Florina Borca, James Batchelor, Erik Koldberg Amundsen, Xiaodong Wu, Georgios V. Gkoutos, Jiaxing Sun, Ashwin Pinto, Bruce Guthrie, Cormac Breen, Abdel Douiri, Honghan Wu, Vasa Curcin, James T. Teo, Ajay M. Shah, Richard J. B. Dobson |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 25 | 54% |
Norway | 3 | 7% |
Netherlands | 1 | 2% |
United States | 1 | 2% |
Canada | 1 | 2% |
Unknown | 15 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 43% |
Scientists | 15 | 33% |
Practitioners (doctors, other healthcare professionals) | 10 | 22% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 244 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 27 | 11% |
Student > Master | 25 | 10% |
Student > Bachelor | 19 | 8% |
Student > Ph. D. Student | 18 | 7% |
Student > Doctoral Student | 14 | 6% |
Other | 35 | 14% |
Unknown | 106 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 61 | 25% |
Nursing and Health Professions | 23 | 9% |
Computer Science | 6 | 2% |
Biochemistry, Genetics and Molecular Biology | 5 | 2% |
Social Sciences | 5 | 2% |
Other | 32 | 13% |
Unknown | 112 | 46% |