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X Demographics
Mendeley readers
| Title |
Case Report: Utilizing AI and NLP to Assist with Healthcare and Rehabilitation During the COVID-19 Pandemic
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, February 2021
|
| DOI | 10.3389/frai.2021.613637 |
| Pubmed ID | |
| Authors |
Jay Carriere, Hareem Shafi, Katelyn Brehon, Kiran Pohar Manhas, Katie Churchill, Chester Ho, Mahdi Tavakoli |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 29% |
| United States | 1 | 14% |
| Brazil | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 9% |
| Student > Bachelor | 10 | 8% |
| Student > Master | 9 | 7% |
| Student > Ph. D. Student | 7 | 6% |
| Professor > Associate Professor | 5 | 4% |
| Other | 17 | 14% |
| Unknown | 63 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 9% |
| Computer Science | 9 | 7% |
| Nursing and Health Professions | 6 | 5% |
| Engineering | 6 | 5% |
| Social Sciences | 4 | 3% |
| Other | 17 | 14% |
| Unknown | 69 | 57% |