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X Demographics
Mendeley readers
| Title |
AI-Assisted CT as a Clinical and Research Tool for COVID-19
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, July 2021
|
| DOI | 10.3389/frai.2021.590189 |
| Pubmed ID | |
| Authors |
Zion Tsz Ho Tse, Sierra Hovet, Hongliang Ren, Tristan Barrett, Sheng Xu, Baris Turkbey, Bradford J. Wood |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 12% |
| Librarian | 2 | 8% |
| Unspecified | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 14 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 16% |
| Unspecified | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Computer Science | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 14 | 56% |