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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ILITIA: telehealth architecture for high-risk gestation classification
|
|---|---|
| Published in |
Research on Biomedical Engineering, September 2017
|
| DOI | 10.1590/2446-4740.09416 |
| Authors |
Yáskara Ygara Menescal Pinto Fernandes, Giseuda Teixeira de Araújo, Bruno Gomes de Araújo, Marcel da Câmara Ribeiro Dantas, Diego Rodrigues de Carvalho, Ricardo Alexsandro de Medeiros Valentim |
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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 29% |
| Researcher | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Lecturer | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 8 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 7 | 25% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Engineering | 2 | 7% |
| Social Sciences | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 8 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 04 September 2023.
All research outputs
#5,242,603
of 25,382,440 outputs
Outputs from Research on Biomedical Engineering
#7
of 74 outputs
Outputs of similar age
#82,900
of 324,453 outputs
Outputs of similar age from Research on Biomedical Engineering
#1
of 1 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 74 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 90% 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 324,453 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 74% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them