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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Heterozygous FA2H mutations in autism spectrum disorders
|
|---|---|
| Published in |
BMC Medical Genomics, December 2013
|
| DOI | 10.1186/1471-2350-14-124 |
| Pubmed ID | |
| Authors |
Isabelle Scheid, Anna Maruani, Guillaume Huguet, Claire S Leblond, Gudrun Nygren, Henrik Anckarsäter, Anita Beggiato, Maria Rastam, Fréderique Amsellem, I Carina Gillberg, Monique Elmaleh, Marion Leboyer, Christopher Gillberg, Catalina Betancur, Mary Coleman, Hiroko Hama, Edwin H Cook, Thomas Bourgeron, Richard Delorme |
| Abstract |
Widespread abnormalities in white matter development are frequently reported in cases of autism spectrum disorders (ASD) and could be involved in the disconnectivity suggested in these disorders. Homozygous mutations in the gene coding for fatty-acid 2-hydroxylase (FA2H), an enzyme involved in myelin synthesis, are associated with complex leukodystrophies, but little is known about the functional impact of heterozygous FA2H mutations. We hypothesized that rare deleterious heterozygous mutations of FA2H might constitute risk factors for ASD. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 52 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Researcher | 9 | 17% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Other | 5 | 9% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 17% |
| Agricultural and Biological Sciences | 8 | 15% |
| Neuroscience | 8 | 15% |
| Psychology | 7 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 16 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 January 2014.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#1,566
of 2,444 outputs
Outputs of similar age
#235,844
of 320,280 outputs
Outputs of similar age from BMC Medical Genomics
#27
of 39 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 320,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.