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X Demographics
Mendeley readers
| Title |
Editorial: Artificial Intelligence for Precision Medicine
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, January 2022
|
| DOI | 10.3389/frai.2021.834645 |
| Pubmed ID | |
| Authors |
Jun Deng, Thomas Hartung, Enrico Capobianco, Jake Y. Chen, Frank Emmert-Streib |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 12% |
| Switzerland | 2 | 12% |
| India | 1 | 6% |
| Comoros | 1 | 6% |
| Netherlands | 1 | 6% |
| Germany | 1 | 6% |
| Sweden | 1 | 6% |
| United Kingdom | 1 | 6% |
| Egypt | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 88% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 19% |
| Unspecified | 2 | 10% |
| Student > Master | 1 | 5% |
| Unknown | 14 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 10% |
| Chemical Engineering | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Neuroscience | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 15 | 71% |