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X Demographics
Mendeley readers
Title |
A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity
|
---|---|
Published in |
Frontiers in Big Data, March 2023
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DOI | 10.3389/fdata.2023.1038283 |
Pubmed ID | |
Authors |
Marko Tumbas, Sofija Markovic, Igor Salom, Marko Djordjevic |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 63% |
Unknown | 3 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 50% |
Nursing and Health Professions | 1 | 13% |
Unknown | 3 | 38% |