The data shown below were collected from the profiles of 9 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 |
Cracking the genetic code with neural networks
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, April 2023
|
| DOI | 10.3389/frai.2023.1128153 |
| Pubmed ID | |
| Authors |
Marc Joiret, Marine Leclercq, Gaspard Lambrechts, Francesca Rapino, Pierre Close, Gilles Louppe, Liesbet Geris |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 11% |
| United States | 1 | 11% |
| Switzerland | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 33% |
| Student > Ph. D. Student | 1 | 17% |
| Librarian | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 33% |
| Computer Science | 1 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Unknown | 2 | 33% |