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Mendeley readers
| Title |
Exploring drivers of patient satisfaction using a random forest algorithm
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2021
|
| DOI | 10.1186/s12911-021-01519-5 |
| Pubmed ID | |
| Authors |
Mecit Can Emre Simsekler, Noura Hamed Alhashmi, Elie Azar, Nelson King, Rana Adel Mahmoud Ali Luqman, Abdalla Al Mulla |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 6% |
| Researcher | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Unspecified | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 38 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 6 | 9% |
| Nursing and Health Professions | 5 | 8% |
| Engineering | 4 | 6% |
| Unspecified | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 4 | 6% |
| Unknown | 40 | 62% |