You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Spatiotemporal-based clusters as a method for dengue surveillance
|
|---|---|
| Published in |
Revista Panamericana de Salud Pública, January 2017
|
| DOI | 10.26633/rpsp.2017.162 |
| Pubmed ID | |
| Authors |
Mayara Romero Canal, Elis Regina da Silva Ferreira, Cássia Fernanda Estofolete, Andréia Martiniano Dias, Caroline Tukasan, Ana Carolina Bertoque, Vitor Dantas Muniz, Maurício Lacerda Nogueira, Natal Santos da Silva |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 5 | 15% |
| Researcher | 5 | 15% |
| Student > Master | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Other | 5 | 15% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 24% |
| Nursing and Health Professions | 4 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 9% |
| Environmental Science | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 11 | 33% |