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LINE retrotransposons characterize mammalian tissue-specific and evolutionarily dynamic regulatory regions

Overview of attention for article published in Genome Biology, February 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
72 X users

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
62 Mendeley
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Title
LINE retrotransposons characterize mammalian tissue-specific and evolutionarily dynamic regulatory regions
Published in
Genome Biology, February 2021
DOI 10.1186/s13059-021-02260-y
Pubmed ID
Authors

Maša Roller, Ericca Stamper, Diego Villar, Osagie Izuogu, Fergal Martin, Aisling M. Redmond, Raghavendra Ramachanderan, Louise Harewood, Duncan T. Odom, Paul Flicek

X Demographics

X Demographics

The data shown below were collected from the profiles of 72 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Student > Master 10 16%
Researcher 6 10%
Student > Bachelor 5 8%
Student > Doctoral Student 3 5%
Other 9 15%
Unknown 19 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 37%
Agricultural and Biological Sciences 15 24%
Computer Science 2 3%
Social Sciences 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 19 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 17 September 2021.
All research outputs
#1,088,460
of 25,880,422 outputs
Outputs from Genome Biology
#780
of 4,509 outputs
Outputs of similar age
#30,620
of 458,174 outputs
Outputs of similar age from Genome Biology
#24
of 92 outputs
Altmetric has tracked 25,880,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 82% 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 458,174 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 93% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.