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Mendeley readers
Attention Score in Context
| Title |
Long noncoding RNAs, emerging players in muscle differentiation and disease
|
|---|---|
| Published in |
Skeletal Muscle, March 2014
|
| DOI | 10.1186/2044-5040-4-8 |
| Pubmed ID | |
| Authors |
Maria Victoria Neguembor, Mathivanan Jothi, Davide Gabellini |
| Abstract |
The vast majority of the mammalian genome is transcribed giving rise to many different types of noncoding RNAs. Among them, long noncoding RNAs are the most numerous and functionally versatile class. Indeed, the lncRNA repertoire might be as rich as the proteome. LncRNAs have emerged as key regulators of gene expression at multiple levels. They play important roles in the regulation of development, differentiation and maintenance of cell identity and they also contribute to disease. In this review, we present recent advances in the biology of lncRNAs in muscle development and differentiation. We will also discuss the contribution of lncRNAs to muscle disease with a particular focus on Duchenne and facioscapulohumeral muscular dystrophies. |
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 % |
|---|---|---|
| United States | 2 | 50% |
| Norway | 1 | 25% |
| France | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 151 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 24% |
| Student > Ph. D. Student | 34 | 22% |
| Student > Master | 15 | 10% |
| Student > Bachelor | 13 | 8% |
| Professor | 10 | 6% |
| Other | 21 | 13% |
| Unknown | 26 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 36% |
| Biochemistry, Genetics and Molecular Biology | 51 | 32% |
| Medicine and Dentistry | 7 | 4% |
| Neuroscience | 3 | 2% |
| Sports and Recreations | 2 | 1% |
| Other | 6 | 4% |
| Unknown | 32 | 20% |
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 15 April 2014.
All research outputs
#13,058,067
of 22,751,628 outputs
Outputs from Skeletal Muscle
#266
of 361 outputs
Outputs of similar age
#107,346
of 226,157 outputs
Outputs of similar age from Skeletal Muscle
#2
of 2 outputs
Altmetric has tracked 22,751,628 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 361 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 24th percentile – i.e., 24% 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 226,157 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% 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.