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X Demographics
Mendeley readers
Title |
Contact Tracing in Healthcare Settings During the COVID-19 Pandemic Using Bluetooth Low Energy and Artificial Intelligence—A Viewpoint
|
---|---|
Published in |
Frontiers in Artificial Intelligence, April 2021
|
DOI | 10.3389/frai.2021.666599 |
Pubmed ID | |
Authors |
Guanglin Tang, Kenneth Westover, Steve Jiang |
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 % |
---|---|---|
Canada | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 2 | 50% |
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 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 > Doctoral Student | 5 | 15% |
Student > Master | 4 | 12% |
Other | 2 | 6% |
Professor > Associate Professor | 2 | 6% |
Student > Ph. D. Student | 1 | 3% |
Other | 2 | 6% |
Unknown | 18 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 12% |
Nursing and Health Professions | 2 | 6% |
Business, Management and Accounting | 2 | 6% |
Economics, Econometrics and Finance | 2 | 6% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 4 | 12% |
Unknown | 19 | 56% |