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Mendeley readers
| Title |
Artificial intelligence guided HRCT assessment predicts the severity of COVID-19 pneumonia based on clinical parameters
|
|---|---|
| Published in |
BMC Infectious Diseases, May 2023
|
| DOI | 10.1186/s12879-023-08303-y |
| Pubmed ID | |
| Authors |
Robert Chrzan, Barbara Wizner, Wojciech Sydor, Wiktoria Wojciechowska, Tadeusz Popiela, Monika Bociąga-Jasik, Agnieszka Olszanecka, Magdalena Strach |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 9% |
| Unspecified | 1 | 5% |
| Student > Postgraduate | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 16 | 73% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Unspecified | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Unknown | 16 | 73% |