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Timeline
X Demographics
Mendeley readers
Title |
Insights Into Co-Morbidity and Other Risk Factors Related to COVID-19 Within Ontario, Canada
|
---|---|
Published in |
Frontiers in Artificial Intelligence, September 2021
|
DOI | 10.3389/frai.2021.684609 |
Pubmed ID | |
Authors |
Brett Snider, Bhumi Patel, Edward McBean |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 15% |
Researcher | 3 | 9% |
Librarian | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Student > Doctoral Student | 1 | 3% |
Other | 1 | 3% |
Unknown | 20 | 59% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 12% |
Agricultural and Biological Sciences | 2 | 6% |
Business, Management and Accounting | 2 | 6% |
Environmental Science | 1 | 3% |
Unspecified | 1 | 3% |
Other | 4 | 12% |
Unknown | 20 | 59% |