The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
| Title |
Digital microscopy and artificial intelligence could profoundly contribute to malaria diagnosis in elimination settings
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2022
|
| DOI | 10.3389/frai.2022.510483 |
| Pubmed ID | |
| Authors |
Hans-Peter Beck |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 23% |
| Researcher | 2 | 15% |
| Student > Master | 1 | 8% |
| Unknown | 7 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 23% |
| Agricultural and Biological Sciences | 2 | 15% |
| Medicine and Dentistry | 1 | 8% |
| Unknown | 7 | 54% |