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 |
Should Metabolic Diseases Be Systematically Screened in Nonsyndromic Autism Spectrum Disorders?
|
|---|---|
| Published in |
PLOS ONE, July 2011
|
| DOI | 10.1371/journal.pone.0021932 |
| Pubmed ID | |
| Authors |
Manuel Schiff, Jean-François Benoist, Sofiane Aïssaoui, Odile Boepsflug-Tanguy, Marie-Christine Mouren, Hélène Ogier de Baulny, Richard Delorme |
| Abstract |
In the investigation of autism spectrum disorders (ASD), a genetic cause is found in approximately 10-20%. Among these cases, the prevalence of the rare inherited metabolic disorders (IMD) is unknown and poorly evaluated. An IMD responsible for ASD is usually identified by the associated clinical phenotype such as dysmorphic features, ataxia, microcephaly, epilepsy, and severe intellectual disability (ID). In rare cases, however, ASD may be considered as nonsyndromic at the onset of a related IMD. |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Unknown | 72 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 15% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Doctoral Student | 9 | 12% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 8 | 11% |
| Other | 12 | 16% |
| Unknown | 15 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 26% |
| Agricultural and Biological Sciences | 13 | 18% |
| Psychology | 7 | 9% |
| Neuroscience | 6 | 8% |
| Social Sciences | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 18 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 08 July 2012.
All research outputs
#2,519,033
of 22,651,245 outputs
Outputs from PLOS ONE
#31,721
of 193,366 outputs
Outputs of similar age
#12,786
of 116,227 outputs
Outputs of similar age from PLOS ONE
#373
of 2,131 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,366 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. 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 116,227 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 89% of its contemporaries.
We're also able to compare this research output to 2,131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.