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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying endophenotypes of autism: a multivariate approach
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, June 2014
|
| DOI | 10.3389/fncom.2014.00060 |
| Pubmed ID | |
| Authors |
Fermín Segovia, Rosemary Holt, Michael Spencer, Juan M. Górriz, Javier Ramírez, Carlos G. Puntonet, Christophe Phillips, Lindsay Chura, Simon Baron-Cohen, John Suckling |
| Abstract |
The existence of an endophenotype of autism spectrum condition (ASC) has been recently suggested by several commentators. It can be estimated by finding differences between controls and people with ASC that are also present when comparing controls and the unaffected siblings of ASC individuals. In this work, we used a multivariate methodology applied on magnetic resonance images to look for such differences. The proposed procedure consists of combining a searchlight approach and a support vector machine classifier to identify the differences between three groups of participants in pairwise comparisons: controls, people with ASC and their unaffected siblings. Then we compared those differences selecting spatially collocated as candidate endophenotypes of ASC. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Japan | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 89 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 22% |
| Student > Ph. D. Student | 19 | 20% |
| Student > Bachelor | 13 | 14% |
| Student > Master | 11 | 12% |
| Professor > Associate Professor | 6 | 6% |
| Other | 15 | 16% |
| Unknown | 9 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 22 | 24% |
| Neuroscience | 20 | 22% |
| Agricultural and Biological Sciences | 8 | 9% |
| Medicine and Dentistry | 7 | 8% |
| Computer Science | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 17 | 18% |
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 26 June 2014.
All research outputs
#5,466,139
of 25,654,806 outputs
Outputs from Frontiers in Computational Neuroscience
#240
of 1,472 outputs
Outputs of similar age
#50,011
of 243,378 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#3
of 14 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,472 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 83% 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 243,378 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 79% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.