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X Demographics
Mendeley readers
Title |
Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk
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Published in |
Frontiers in Bioinformatics, May 2023
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DOI | 10.3389/fbinf.2023.1163430 |
Pubmed ID | |
Authors |
T. Waddell, A. I. L. Namburete, P. Duckworth, N. Eichert, H. Thomaides-Brears, D. J. Cuthbertson, J. P. Despres, M. Brady |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
United States | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 100% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 1 | 100% |