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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% |