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X Demographics
Mendeley readers
| Title |
Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2020
|
| DOI | 10.3389/frai.2020.564878 |
| Pubmed ID | |
| Authors |
Justine Boulent, Pierre-Luc St-Charles, Samuel Foucher, Jérome Théau |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 14% |
| Student > Ph. D. Student | 5 | 14% |
| Researcher | 4 | 11% |
| Lecturer | 2 | 5% |
| Unspecified | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 15 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 24% |
| Agricultural and Biological Sciences | 5 | 14% |
| Computer Science | 3 | 8% |
| Unspecified | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 43% |