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
Attention Score in Context
| Title |
Digital disease detection and participatory surveillance: overview and perspectives for Brazil
|
|---|---|
| Published in |
Revista de Saúde Pública, January 2016
|
| DOI | 10.1590/s1518-8787.2016050006201 |
| Pubmed ID | |
| Authors |
Onicio B Leal-Neto, George S Dimech, Marlo Libel, Wanderson Oliveira, Juliana Perazzo Ferreira |
| Abstract |
This study aimed to describe the digital disease detection and participatory surveillance in different countries. The systems or platforms consolidated in the scientific field were analyzed by describing the strategy, type of data source, main objectives, and manner of interaction with users. Eleven systems or platforms, developed from 1996 to 2016, were analyzed. There was a higher frequency of data mining on the web and active crowdsourcing as well as a trend in the use of mobile applications. It is important to provoke debate in the academia and health services for the evolution of methods and insights into participatory surveillance in the digital age. |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 3% |
| Portugal | 1 | 1% |
| Unknown | 83 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 20% |
| Researcher | 15 | 17% |
| Student > Doctoral Student | 8 | 9% |
| Student > Postgraduate | 7 | 8% |
| Student > Ph. D. Student | 5 | 6% |
| Other | 15 | 17% |
| Unknown | 20 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 21% |
| Nursing and Health Professions | 9 | 10% |
| Agricultural and Biological Sciences | 7 | 8% |
| Computer Science | 6 | 7% |
| Engineering | 5 | 6% |
| Other | 18 | 21% |
| Unknown | 24 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 October 2016.
All research outputs
#3,290,163
of 22,893,031 outputs
Outputs from Revista de Saúde Pública
#75
of 1,022 outputs
Outputs of similar age
#60,020
of 393,734 outputs
Outputs of similar age from Revista de Saúde Pública
#6
of 64 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,022 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 92% 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 393,734 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 64 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 90% of its contemporaries.