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Mendeley readers
| Title |
Challenges and solutions for transforming health ecosystems in low- and middle-income countries through artificial intelligence
|
|---|---|
| Published in |
Frontiers in Medicine, December 2022
|
| DOI | 10.3389/fmed.2022.958097 |
| Pubmed ID | |
| Authors |
Diego M. López, Carolina Rico-Olarte, Bernd Blobel, Carol Hullin |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 17% |
| Student > Master | 7 | 10% |
| Unspecified | 6 | 9% |
| Researcher | 4 | 6% |
| Student > Postgraduate | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 35 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 9 | 13% |
| Medicine and Dentistry | 6 | 9% |
| Unspecified | 6 | 9% |
| Computer Science | 4 | 6% |
| Social Sciences | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 38 | 54% |