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Mendeley readers
Attention Score in Context
| Title |
Dual exon skipping in myostatin and dystrophin for Duchenne muscular dystrophy
|
|---|---|
| Published in |
BMC Medical Genomics, April 2011
|
| DOI | 10.1186/1755-8794-4-36 |
| Pubmed ID | |
| Authors |
Dwi U Kemaladewi, Willem MH Hoogaars, Sandra H van Heiningen, Samuel Terlouw, David JJ de Gorter, Johan T den Dunnen, Gert Jan B van Ommen, Annemieke Aartsma-Rus, Peter ten Dijke, Peter AC 't Hoen |
| Abstract |
Myostatin is a potent muscle growth inhibitor that belongs to the Transforming Growth Factor-β (TGF-β) family. Mutations leading to non functional myostatin have been associated with hypermuscularity in several organisms. By contrast, Duchenne muscular dystrophy (DMD) is characterized by a loss of muscle fibers and impaired regeneration. In this study, we aim to knockdown myostatin by means of exon skipping, a technique which has been successfully applied to reframe the genetic defect of dystrophin gene in DMD patients. |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Russia | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 67 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 26% |
| Student > Ph. D. Student | 13 | 19% |
| Professor | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Student > Postgraduate | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 40% |
| Medicine and Dentistry | 10 | 14% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Neuroscience | 2 | 3% |
| Chemistry | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 12 | 17% |
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 31 October 2023.
All research outputs
#2,918,113
of 22,659,164 outputs
Outputs from BMC Medical Genomics
#125
of 1,211 outputs
Outputs of similar age
#13,571
of 109,057 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 9 outputs
Altmetric has tracked 22,659,164 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 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 109,057 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 86% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.