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Mendeley readers
| Title |
Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area
|
|---|---|
| Published in |
Revista Brasileira de Ciência do Solo, November 2018
|
| DOI | 10.1590/18069657rbcs20170421 |
| Authors |
Martin Meier, Eliana de Souza, Marcio Rocha Francelino, Elpídio Inácio Fernandes, Carlos Ernesto Gonçalves Reynaud Schaefer |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 20% |
| Student > Ph. D. Student | 12 | 14% |
| Researcher | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 6 | 7% |
| Other | 6 | 7% |
| Unknown | 33 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 23% |
| Environmental Science | 11 | 13% |
| Earth and Planetary Sciences | 7 | 8% |
| Computer Science | 4 | 5% |
| Engineering | 3 | 3% |
| Other | 5 | 6% |
| Unknown | 38 | 43% |