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Mendeley readers
| Title |
Predicting near-term glaucoma progression: An artificial intelligence approach using clinical free-text notes and data from electronic health records
|
|---|---|
| Published in |
Frontiers in Medicine, April 2023
|
| DOI | 10.3389/fmed.2023.1157016 |
| Pubmed ID | |
| Authors |
Sunil K. Jalamangala Shivananjaiah, Sneha Kumari, Iyad Majid, Sophia Y. Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 17% |
| Student > Master | 1 | 8% |
| Unknown | 9 | 75% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Unknown | 10 | 83% |