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.
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X Demographics
Mendeley readers
| Title |
Early breast cancer detection and differentiation tool based on tissue impedance characteristics and machine learning
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, September 2023
|
| DOI | 10.3389/frai.2023.1248977 |
| Pubmed ID | |
| Authors |
Soumaya Ben Salem, Samar Zahra Ali, Anyik John Leo, Zied Lachiri, Martin Mkandawire |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Researcher | 1 | 6% |
| Student > Master | 1 | 6% |
| Unknown | 11 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Nursing and Health Professions | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 10 | 63% |