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Mutations within lncRNAs are effectively selected against in fruitfly but not in human

Overview of attention for article published in Genome Biology, May 2013
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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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
2 blogs
twitter
22 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
108 Mendeley
citeulike
4 CiteULike
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Title
Mutations within lncRNAs are effectively selected against in fruitfly but not in human
Published in
Genome Biology, May 2013
DOI 10.1186/gb-2013-14-5-r49
Pubmed ID
Authors

Wilfried Haerty, Chris P Ponting

Abstract

Previous studies in Drosophila and mammals have revealed levels of long non-coding RNAs (lncRNAs) sequence conservation that are intermediate between neutrally evolving and protein-coding sequence. These analyses compared conservation between species that diverged up to 75 million years ago. However, analysis of sequence polymorphisms within a species' population can provide an understanding of essentially contemporaneous selective constraints that are acting on lncRNAs and can quantify the deleterious effect of mutations occurring within these loci.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
Netherlands 1 <1%
France 1 <1%
Italy 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Finland 1 <1%
Denmark 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 98 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 32%
Student > Ph. D. Student 26 24%
Student > Master 13 12%
Student > Bachelor 9 8%
Professor > Associate Professor 8 7%
Other 9 8%
Unknown 8 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 56%
Biochemistry, Genetics and Molecular Biology 29 27%
Computer Science 5 5%
Neuroscience 2 2%
Nursing and Health Professions 1 <1%
Other 3 3%
Unknown 8 7%
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
#1,284,291
of 25,374,917 outputs
Outputs from Genome Biology
#990
of 4,467 outputs
Outputs of similar age
#10,339
of 207,680 outputs
Outputs of similar age from Genome Biology
#15
of 67 outputs
Altmetric has tracked 25,374,917 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 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 77% 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 207,680 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 95% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.