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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of Supervised Machine Learning for Behavioral Biomarkers of Autism Spectrum Disorder Based on Electrodermal Activity and Virtual Reality
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, April 2020
|
| DOI | 10.3389/fnhum.2020.00090 |
| Pubmed ID | |
| Authors |
Mariano Alcañiz Raya, Irene Alice Chicchi Giglioli, Javier Marín-Morales, Juan L. Higuera-Trujillo, Elena Olmos, Maria E. Minissi, Gonzalo Teruel Garcia, Marian Sirera, Luis Abad |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 2 | 29% |
| France | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 179 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 9% |
| Researcher | 17 | 9% |
| Student > Master | 17 | 9% |
| Unspecified | 15 | 8% |
| Student > Bachelor | 12 | 7% |
| Other | 38 | 21% |
| Unknown | 63 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 31 | 17% |
| Computer Science | 22 | 12% |
| Unspecified | 15 | 8% |
| Medicine and Dentistry | 10 | 6% |
| Engineering | 7 | 4% |
| Other | 22 | 12% |
| Unknown | 72 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 August 2021.
All research outputs
#6,928,614
of 23,202,641 outputs
Outputs from Frontiers in Human Neuroscience
#2,862
of 7,243 outputs
Outputs of similar age
#134,235
of 371,829 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#48
of 137 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 59% 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 371,829 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 63% of its contemporaries.
We're also able to compare this research output to 137 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.