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Mendeley readers
| Title |
Data analytics and clinical feature ranking of medical records of patients with sepsis
|
|---|---|
| Published in |
BioData Mining, February 2021
|
| DOI | 10.1186/s13040-021-00235-0 |
| Pubmed ID | |
| Authors |
Davide Chicco, Luca Oneto |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 13% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Bachelor | 6 | 9% |
| Unspecified | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 26 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 22% |
| Engineering | 8 | 12% |
| Unspecified | 6 | 9% |
| Nursing and Health Professions | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 24 | 35% |