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X Demographics
Mendeley readers
| Title |
Improving plant disease classification by adaptive minimal ensembling
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, September 2022
|
| DOI | 10.3389/frai.2022.868926 |
| Pubmed ID | |
| Authors |
Antonio Bruno, Davide Moroni, Riccardo Dainelli, Leandro Rocchi, Silvia Morelli, Emilio Ferrari, Piero Toscano, Massimo Martinelli |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| India | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 14% |
| Lecturer | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Other | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 9 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 19% |
| Agricultural and Biological Sciences | 4 | 19% |
| Engineering | 2 | 10% |
| Unspecified | 1 | 5% |
| Environmental Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 9 | 43% |