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X Demographics
Mendeley readers
| Title |
Mapping threatened canga ecosystems in the Brazilian savanna using U-Net deep learning segmentation and Sentinel-2 images: a first step toward conservation planning
|
|---|---|
| Published in |
Biota Neotropica, January 2023
|
| DOI | 10.1590/1676-0611-bn-2022-1384 |
| Authors |
Eric Oliveira Pereira, Fabien H. Wagner, Luciana Hiromi Yoshino Kamino, Flávio Fonseca do Carmo |
X Demographics
The data shown below were collected from the profiles of 8 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 | 4 | 50% |
| Poland | 1 | 13% |
| Hong Kong | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 23% |
| Student > Ph. D. Student | 2 | 15% |
| Researcher | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 6 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 23% |
| Environmental Science | 2 | 15% |
| Materials Science | 1 | 8% |
| Unknown | 7 | 54% |