The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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Timeline
X Demographics
Mendeley readers
| Title |
Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, August 2024
|
| DOI | 10.3389/frai.2024.1384709 |
| Pubmed ID | |
| Authors |
Flavia Mayo, Ciira Maina, Mvurya Mgala, Neema Mduma |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tanzania, United Republic of | 3 | 43% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 100% |