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Mendeley readers
| Title |
Data Mining in Spine Surgery: Leveraging Electronic Health Records for Machine Learning and Clinical Research
|
|---|---|
| Published in |
Neurospine, December 2019
|
| DOI | 10.14245/ns.1938434.217 |
| Pubmed ID | |
| Authors |
Victor E. Staartjes, Martin N. Stienen |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 5 | 13% |
| Researcher | 5 | 13% |
| Unspecified | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 23% |
| Unspecified | 3 | 8% |
| Computer Science | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 7 | 18% |
| Unknown | 16 | 40% |