| Title |
Mutational signatures for breast cancer diagnosis using artificial intelligence
|
|---|---|
| Published in |
Journal of the Egyptian National Cancer Institute, May 2023
|
| DOI | 10.1186/s43046-023-00173-4 |
| Pubmed ID | |
| Authors |
Patrick Odhiambo, Harrison Okello, Annette Wakaanya, Clabe Wekesa, Patrick Okoth |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 10% |
| Unspecified | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Student > Master | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 28 | 70% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 13% |
| Unspecified | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 28 | 70% |