The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
| Title |
Accurate species identification of food-contaminating beetles with quality-improved elytral images and deep learning
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, August 2022
|
| DOI | 10.3389/frai.2022.952424 |
| Pubmed ID | |
| Authors |
Halil Bisgin, Tanmay Bera, Leihong Wu, Hongjian Ding, Neslihan Bisgin, Zhichao Liu, Monica Pava-Ripoll, Amy Barnes, James F. Campbell, Himansi Vyas, Cesare Furlanello, Weida Tong, Joshua Xu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 75% |
| Switzerland | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Unknown | 3 | 75% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Unknown | 3 | 75% |