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X Demographics
Mendeley readers
| Title |
CLIMATE-DRIVEN STATISTICAL MODELS AS EFECTIVE PREDICTIONS OF LOCAL DENGUE INDICENCE IN COSTA RICA: A GENERALIZED ADDITIVE MODEL AND RANDOM FOREST APPROACH
|
|---|---|
| Published in |
Revista de Matemática Teoría y Aplicaciones, December 2019
|
| DOI | 10.15517/rmta.v27i1.39931 |
| Authors |
PAOLA VÁSQUEZ, ANTONIO LORÍA, FABIO SÁNCHEZ, LUIS ALBERTO BARBOZA |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Student > Bachelor | 4 | 15% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Master | 2 | 7% |
| Professor | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 10 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 15% |
| Environmental Science | 2 | 7% |
| Mathematics | 2 | 7% |
| Earth and Planetary Sciences | 2 | 7% |
| Computer Science | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 12 | 44% |