The data shown below were collected from the profiles of 2 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 |
Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, January 2022
|
| DOI | 10.3389/frai.2021.739432 |
| Pubmed ID | |
| Authors |
Susanne Gerber, Lukas Pospisil, Stanislav Sys, Charlotte Hewel, Ali Torkamani, Illia Horenko |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 14% |
| Student > Doctoral Student | 2 | 14% |
| Unspecified | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 14% |
| Computer Science | 2 | 14% |
| Arts and Humanities | 1 | 7% |
| Unspecified | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 5 | 36% |