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A novel molecular mechanism in human genetic disease

Overview of attention for article published in RNA Biology, October 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 tweeters

Citations

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17 Dimensions

Readers on

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27 Mendeley

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Summary Twitter Dimensions citations
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Title
A novel molecular mechanism in human genetic disease
Published in
RNA Biology, October 2014
DOI 10.4161/rna.21922
Pubmed ID
23047063
Authors

Daphne S. Cabianca, Valentina Casa, Davide Gabellini

Abstract

Two thirds of the human genome is composed of repetitive sequences. Despite their prevalence, DNA repeats are largely ignored. The vast majority of our genome is transcribed to produce non protein-coding RNAs. Among these, long non protein-coding RNAs represent the most prevalent and functionally diverse class. The relevance of the non protein-coding genome to human disease has mainly been studied regarding the altered microRNA expression and function in human cancer. On the contrary, the elucidation of the involvement of long non-coding RNAs in disease is only in its infancy. We have recently found that a chromatin associated, long non protein-coding RNA regulates a Polycomb/Trithorax epigenetic switch at the basis of the repeat associated facioscapulohumeral muscular dystrophy, a common muscle disorder. Based on this, we propose that long non-coding RNAs produced by repetitive sequences contribute in shaping the epigenetic landscape in normal human physiology and in disease.

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Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 33%
Student > Master 6 22%
Student > Ph. D. Student 4 15%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 41%
Biochemistry, Genetics and Molecular Biology 9 33%
Medicine and Dentistry 2 7%
Environmental Science 1 4%
Computer Science 1 4%
Other 3 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 October 2019.
All research outputs
#9,823,572
of 16,018,025 outputs
Outputs from RNA Biology
#632
of 1,252 outputs
Outputs of similar age
#139,600
of 262,071 outputs
Outputs of similar age from RNA Biology
#13
of 14 outputs
Altmetric has tracked 16,018,025 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,252 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 44th percentile – i.e., 44% 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 262,071 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.

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