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Genomewide characterization of non-polyadenylated RNAs

Overview of attention for article published in Genome Biology, February 2011
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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)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
2 news outlets
twitter
5 X users
patent
2 patents
weibo
1 weibo user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
364 Dimensions

Readers on

mendeley
626 Mendeley
citeulike
6 CiteULike
connotea
1 Connotea
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Title
Genomewide characterization of non-polyadenylated RNAs
Published in
Genome Biology, February 2011
DOI 10.1186/gb-2011-12-2-r16
Pubmed ID
Authors

Li Yang, Michael O Duff, Brenton R Graveley, Gordon G Carmichael, Ling-Ling Chen

Abstract

RNAs can be physically classified into poly(A)+ or poly(A)- transcripts according to the presence or absence of a poly(A) tail at their 3' ends. Current deep sequencing approaches largely depend on the enrichment of transcripts with a poly(A) tail, and therefore offer little insight into the nature and expression of transcripts that lack poly(A) tails.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 626 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 2%
United Kingdom 5 <1%
France 4 <1%
Germany 3 <1%
Denmark 3 <1%
Japan 2 <1%
Spain 2 <1%
Australia 2 <1%
Italy 1 <1%
Other 7 1%
Unknown 585 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 185 30%
Researcher 141 23%
Student > Master 75 12%
Student > Bachelor 37 6%
Student > Doctoral Student 26 4%
Other 90 14%
Unknown 72 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 272 43%
Biochemistry, Genetics and Molecular Biology 187 30%
Medicine and Dentistry 26 4%
Computer Science 13 2%
Neuroscience 10 2%
Other 32 5%
Unknown 86 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 25 January 2024.
All research outputs
#1,405,370
of 25,374,917 outputs
Outputs from Genome Biology
#1,119
of 4,467 outputs
Outputs of similar age
#5,218
of 118,282 outputs
Outputs of similar age from Genome Biology
#1
of 30 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 gotten more attention than average, scoring higher than 74% 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 118,282 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 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.