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X Demographics
Mendeley readers
| Title |
Coalescing disparate data sources for the geospatial prediction of mosquito abundance, using Brazil as a motivating case study
|
|---|---|
| Published in |
Frontiers in Tropical Diseases, May 2023
|
| DOI | 10.3389/fitd.2023.1039735 |
| Authors |
Anwar Musah, Ella Browning, Aisha Aldosery, Iuri Valerio Graciano Borges, Tercio Ambrizzi, Merve Tunali, Selma Başibüyük, Orhan Yenigün, Giselle Machado Magalhaes Moreno, Clarisse Lins de Lima, Ana Clara Gomes da Silva, Wellington Pinheiro dos Santos, Tiago Massoni, Luiza Cintra Campos, Patty Kostkova |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 5 | 56% |
| Switzerland | 2 | 22% |
| Brazil | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 33% |
| Unspecified | 2 | 22% |
| Librarian | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Student > Master | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 22% |
| Computer Science | 2 | 22% |
| Agricultural and Biological Sciences | 1 | 11% |
| Business, Management and Accounting | 1 | 11% |
| Immunology and Microbiology | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 1 | 11% |