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Mendeley readers
| Title |
Soil type spatial prediction from Random Forest: different training datasets, transferability, accuracy and uncertainty assessment
|
|---|---|
| Published in |
Scientia Agricola, May 2019
|
| DOI | 10.1590/1678-992x-2017-0300 |
| Authors |
Diego Fernandes Terra Machado, Sérgio Henrique Godinho Silva, Nilton Curi, Michele Duarte de Menezes |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 22% |
| Researcher | 8 | 18% |
| Student > Ph. D. Student | 4 | 9% |
| Lecturer | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 29% |
| Environmental Science | 7 | 16% |
| Earth and Planetary Sciences | 3 | 7% |
| Computer Science | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 14 | 31% |