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X Demographics
Mendeley readers
| Title |
Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2020
|
| DOI | 10.3389/frai.2020.539879 |
| Pubmed ID | |
| Authors |
Gregory R. Hart, Vanessa Yan, Gloria S. Huang, Ying Liang, Bradley J. Nartowt, Wazir Muhammad, Jun Deng |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 20% |
| United States | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 9% |
| Unspecified | 3 | 9% |
| Researcher | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Librarian | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 15 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 13% |
| Medicine and Dentistry | 3 | 9% |
| Computer Science | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 17 | 53% |