The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
| Title |
Deep Learning–Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, June 2021
|
| DOI | 10.3389/frai.2021.694875 |
| Pubmed ID | |
| Authors |
Dan Nguyen, Fernando Kay, Jun Tan, Yulong Yan, Yee Seng Ng, Puneeth Iyengar, Ron Peshock, Steve Jiang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 22% |
| India | 1 | 11% |
| Switzerland | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 9% |
| Student > Postgraduate | 4 | 7% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Researcher | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 27 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 12% |
| Computer Science | 6 | 10% |
| Engineering | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Mathematics | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 29 | 50% |