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Mendeley readers
Attention Score in Context
| Title |
Identification of rare DNA sequence variants in high-risk autism families and their prevalence in a large case/control population
|
|---|---|
| Published in |
Molecular Autism, January 2014
|
| DOI | 10.1186/2040-2392-5-5 |
| Pubmed ID | |
| Authors |
Nori Matsunami, Charles H Hensel, Lisa Baird, Jeff Stevens, Brith Otterud, Tami Leppert, Tena Varvil, Dexter Hadley, Joseph T Glessner, Renata Pellegrino, Cecilia Kim, Kelly Thomas, Fengxiang Wang, Frederick G Otieno, Karen Ho, Gerald B Christensen, Dongying Li, Rytis Prekeris, Christophe G Lambert, Hakon Hakonarson, Mark F Leppert |
| Abstract |
Genetics clearly plays a major role in the etiology of autism spectrum disorders (ASDs), but studies to date are only beginning to characterize the causal genetic variants responsible. Until recently, studies using multiple extended multi-generation families to identify ASD risk genes had not been undertaken. |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Malaysia | 1 | 1% |
| Germany | 1 | 1% |
| Sweden | 1 | 1% |
| Netherlands | 1 | 1% |
| Unknown | 85 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 19% |
| Researcher | 12 | 13% |
| Student > Ph. D. Student | 12 | 13% |
| Professor > Associate Professor | 8 | 9% |
| Student > Bachelor | 6 | 7% |
| Other | 17 | 19% |
| Unknown | 19 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 26% |
| Biochemistry, Genetics and Molecular Biology | 12 | 13% |
| Medicine and Dentistry | 11 | 12% |
| Psychology | 7 | 8% |
| Neuroscience | 6 | 7% |
| Other | 11 | 12% |
| Unknown | 20 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 27 September 2017.
All research outputs
#2,933,225
of 22,758,248 outputs
Outputs from Molecular Autism
#288
of 666 outputs
Outputs of similar age
#36,711
of 307,366 outputs
Outputs of similar age from Molecular Autism
#12
of 34 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 666 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.4. This one has gotten more attention than average, scoring higher than 56% 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 307,366 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 87% of its contemporaries.
We're also able to compare this research output to 34 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 64% of its contemporaries.