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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimizing the phenotyping of rodent ASD models: enrichment analysis of mouse and human neurobiological phenotypes associated with high-risk autism genes identifies morphological, electrophysiological, neurological, and behavioral features
|
|---|---|
| Published in |
Molecular Autism, February 2012
|
| DOI | 10.1186/2040-2392-3-1 |
| Pubmed ID | |
| Authors |
Joseph D Buxbaum, Catalina Betancur, Ozlem Bozdagi, Nate P Dorr, Gregory A Elder, Patrick R Hof |
| Abstract |
There is interest in defining mouse neurobiological phenotypes useful for studying autism spectrum disorders (ASD) in both forward and reverse genetic approaches. A recurrent focus has been on high-order behavioral analyses, including learning and memory paradigms and social paradigms. However, well-studied mouse models, including for example Fmr1 knockout mice, do not show dramatic deficits in such high-order phenotypes, raising a question as to what constitutes useful phenotypes in ASD models. |
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 % |
|---|---|---|
| Canada | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
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 | 3 | 3% |
| Brazil | 2 | 2% |
| United Kingdom | 1 | 1% |
| Unknown | 85 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 23% |
| Student > Ph. D. Student | 19 | 21% |
| Student > Bachelor | 8 | 9% |
| Student > Master | 7 | 8% |
| Student > Postgraduate | 5 | 5% |
| Other | 17 | 19% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 30% |
| Medicine and Dentistry | 14 | 15% |
| Neuroscience | 10 | 11% |
| Psychology | 9 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 6 | 7% |
| Unknown | 21 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 23 February 2012.
All research outputs
#4,093,712
of 25,394,764 outputs
Outputs from Molecular Autism
#323
of 720 outputs
Outputs of similar age
#25,432
of 169,506 outputs
Outputs of similar age from Molecular Autism
#2
of 2 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 720 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.2. This one has gotten more attention than average, scoring higher than 55% 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 169,506 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 84% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.