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Volatile evolution of long noncoding RNA repertoires: mechanisms and biological implications

Overview of attention for article published in Trends in Genetics, September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
30 X users
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
245 Dimensions

Readers on

mendeley
380 Mendeley
citeulike
3 CiteULike
Title
Volatile evolution of long noncoding RNA repertoires: mechanisms and biological implications
Published in
Trends in Genetics, September 2014
DOI 10.1016/j.tig.2014.08.004
Pubmed ID
Authors

Aurélie Kapusta, Cédric Feschotte

Abstract

Thousands of genes encoding long noncoding RNAs (lncRNAs) have been identified in all vertebrate genomes thus far examined. The list of lncRNAs partaking in arguably important biochemical, cellular, and developmental activities is steadily growing. However, it is increasingly clear that lncRNA repertoires are subject to weak functional constraint and rapid turnover during vertebrate evolution. We discuss here some of the factors that may explain this apparent paradox, including relaxed constraint on sequence to maintain lncRNA structure/function, extensive redundancy in the regulatory circuits in which lncRNAs act, as well as adaptive and non-adaptive forces such as genetic drift. We explore the molecular mechanisms promoting the birth and rapid evolution of lncRNA genes, with an emphasis on the influence of bidirectional transcription and transposable elements, two pervasive features of vertebrate genomes. Together these properties reveal a remarkably dynamic and malleable noncoding transcriptome which may represent an important source of robustness and evolvability.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
France 3 <1%
Brazil 2 <1%
United States 2 <1%
Spain 2 <1%
India 2 <1%
Australia 1 <1%
Germany 1 <1%
Denmark 1 <1%
Other 0 0%
Unknown 363 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 96 25%
Researcher 81 21%
Student > Master 43 11%
Student > Bachelor 24 6%
Professor > Associate Professor 20 5%
Other 68 18%
Unknown 48 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 170 45%
Biochemistry, Genetics and Molecular Biology 113 30%
Medicine and Dentistry 15 4%
Immunology and Microbiology 8 2%
Computer Science 5 1%
Other 16 4%
Unknown 53 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 28 March 2022.
All research outputs
#1,278,568
of 25,373,627 outputs
Outputs from Trends in Genetics
#163
of 2,382 outputs
Outputs of similar age
#13,198
of 250,305 outputs
Outputs of similar age from Trends in Genetics
#4
of 23 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 93% 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 250,305 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 94% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.