You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 15% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 26 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 25% |
| Engineering | 7 | 11% |
| Medicine and Dentistry | 3 | 5% |
| Nursing and Health Professions | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 24 | 39% |