| Title |
Transcriptomic analysis of genetically defined autism candidate genes reveals common mechanisms of action
|
|---|---|
| Published in |
Molecular Autism, November 2013
|
| DOI | 10.1186/2040-2392-4-45 |
| Pubmed ID | |
| Authors |
Thomas A Lanz, Edward Guilmette, Mark M Gosink, James E Fischer, Lawrence W Fitzgerald, Diane T Stephenson, Mathew T Pletcher |
| Abstract |
Austism spectrum disorder (ASD) is a heterogeneous behavioral disorder or condition characterized by severe impairment of social engagement and the presence of repetitive activities. The molecular etiology of ASD is still largely unknown despite a strong genetic component. Part of the difficulty in turning genetics into disease mechanisms and potentially new therapeutics is the sheer number and diversity of the genes that have been associated with ASD and ASD symptoms. The goal of this work is to use shRNA-generated models of genetic defects proposed as causative for ASD to identify the common pathways that might explain how they produce a core clinical disability. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 97 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 20% |
| Student > Ph. D. Student | 19 | 19% |
| Student > Master | 10 | 10% |
| Student > Bachelor | 10 | 10% |
| Student > Postgraduate | 5 | 5% |
| Other | 19 | 19% |
| Unknown | 17 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 25% |
| Biochemistry, Genetics and Molecular Biology | 15 | 15% |
| Neuroscience | 13 | 13% |
| Medicine and Dentistry | 12 | 12% |
| Engineering | 4 | 4% |
| Other | 12 | 12% |
| Unknown | 19 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 February 2019.
All research outputs
#12,887,556
of 22,731,677 outputs
Outputs from Molecular Autism
#517
of 664 outputs
Outputs of similar age
#105,895
of 211,390 outputs
Outputs of similar age from Molecular Autism
#8
of 10 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 664 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.4. This one is in the 20th percentile – i.e., 20% 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 211,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.