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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Post-natal induction of PGC-1α protects against severe muscle dystrophy independently of utrophin
|
|---|---|
| Published in |
Skeletal Muscle, January 2014
|
| DOI | 10.1186/2044-5040-4-2 |
| Pubmed ID | |
| Authors |
Mun Chun Chan, Glenn C Rowe, Srilatha Raghuram, Ian S Patten, Caitlin Farrell, Zolt Arany |
| Abstract |
Duchenne muscle dystrophy (DMD) afflicts 1 million boys in the US and has few effective treatments. Constitutive transgenic expression of the transcriptional coactivator peroxisome proliferator-activated receptor gamma coactivator (PGC)-1α improves skeletal muscle function in the murine "mdx" model of DMD, but how this occurs, or whether it can occur post-natally, is not known. The leading mechanistic hypotheses for the benefits conferred by PGC-1α include the induction of utrophin, a dystrophin homolog, and/or induction and stabilization of the neuromuscular junction. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Italy | 1 | 2% |
| Peru | 1 | 2% |
| Unknown | 55 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 24% |
| Student > Ph. D. Student | 11 | 19% |
| Student > Bachelor | 5 | 9% |
| Professor > Associate Professor | 5 | 9% |
| Student > Master | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 14 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 28% |
| Agricultural and Biological Sciences | 15 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 9% |
| Medicine and Dentistry | 4 | 7% |
| Neuroscience | 2 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 01 February 2022.
All research outputs
#1,878,941
of 23,025,074 outputs
Outputs from Skeletal Muscle
#42
of 364 outputs
Outputs of similar age
#23,229
of 307,183 outputs
Outputs of similar age from Skeletal Muscle
#2
of 10 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 364 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 88% 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 307,183 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
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 8 of them.