The data shown below were collected from the profiles of 8 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 |
Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, June 2021
|
| DOI | 10.3389/frai.2021.627369 |
| Pubmed ID | |
| Authors |
Wei Luo |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Student > Master | 6 | 14% |
| Student > Bachelor | 3 | 7% |
| Professor | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 24 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 11% |
| Medicine and Dentistry | 5 | 11% |
| Unspecified | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Other | 1 | 2% |
| Unknown | 24 | 55% |