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Timeline
Attention over time
Attention Score history
Activity
Mendeley demographics
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| Title |
Mining post-surgical care processes in breast cancer patients
|
|---|---|
| Published in |
Artificial Intelligence in Medicine, April 2020
|
| DOI | 10.1016/j.artmed.2020.101855 |
| Pubmed ID | |
| Authors |
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Mendeley demographics
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 14% |
| Student > Bachelor | 9 | 9% |
| Student > Ph. D. Student | 9 | 9% |
| Lecturer | 6 | 6% |
| Researcher | 5 | 5% |
| Other | 14 | 14% |
| Unknown | 42 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 18% |
| Medicine and Dentistry | 10 | 10% |
| Engineering | 7 | 7% |
| Business, Management and Accounting | 5 | 5% |
| Nursing and Health Professions | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 43 | 43% |