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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of malaria using deep learning models: A case study on city clusters in the state of Amazonas, Brazil, from 2003 to 2018
|
|---|---|
| Published in |
Revista da Sociedade Brasileira de Medicina Tropical, January 2022
|
| DOI | 10.1590/0037-8682-0420-2021 |
| Pubmed ID | |
| Authors |
Matheus Félix Xavier Barboza, Kayo Henrique de Carvalho Monteiro, Iago Richard Rodrigues, Guto Leoni Santos, Wuelton Marcelo Monteiro, Augusto Guimaraes Figueira, Vanderson de Souza Sampaio, Theo Lynn, Patricia Takako Endo |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 38% |
| Ireland | 2 | 25% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 12% |
| Lecturer | 3 | 9% |
| Student > Master | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Librarian | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 22 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 15% |
| Agricultural and Biological Sciences | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Earth and Planetary Sciences | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 23 | 68% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 July 2023.
All research outputs
#7,206,597
of 25,392,582 outputs
Outputs from Revista da Sociedade Brasileira de Medicina Tropical
#136
of 1,193 outputs
Outputs of similar age
#153,535
of 515,332 outputs
Outputs of similar age from Revista da Sociedade Brasileira de Medicina Tropical
#11
of 125 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,193 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 515,332 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.