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Mendeley readers
| Title |
Quantifying the impact of addressing data challenges in prediction of length of stay
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2021
|
| DOI | 10.1186/s12911-021-01660-1 |
| Pubmed ID | |
| Authors |
Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Ali Ebrahimi, Uffe Kock Wiil |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 2 | 4% |
| Student > Master | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 22 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 11% |
| Nursing and Health Professions | 5 | 11% |
| Computer Science | 3 | 7% |
| Medicine and Dentistry | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 24 | 53% |