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Reproducible inference of transcription factor footprints in ATAC-seq and DNase-seq datasets using protocol-specific bias modeling

Overview of attention for article published in Genome Biology (Online Edition), February 2019
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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 (82nd percentile)

Mentioned by

twitter
23 tweeters

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
175 Mendeley
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Title
Reproducible inference of transcription factor footprints in ATAC-seq and DNase-seq datasets using protocol-specific bias modeling
Published in
Genome Biology (Online Edition), February 2019
DOI 10.1186/s13059-019-1654-y
Pubmed ID
Authors

Aslıhan Karabacak Calviello, Antje Hirsekorn, Ricardo Wurmus, Dilmurat Yusuf, Uwe Ohler

Twitter Demographics

The data shown below were collected from the profiles of 23 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 175 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 27%
Researcher 27 15%
Student > Bachelor 21 12%
Student > Master 21 12%
Student > Doctoral Student 7 4%
Other 22 13%
Unknown 30 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 75 43%
Agricultural and Biological Sciences 35 20%
Computer Science 7 4%
Medicine and Dentistry 7 4%
Neuroscience 3 2%
Other 16 9%
Unknown 32 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 18 April 2020.
All research outputs
#2,321,835
of 20,765,300 outputs
Outputs from Genome Biology (Online Edition)
#1,938
of 3,979 outputs
Outputs of similar age
#49,991
of 283,576 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 20,765,300 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has gotten more attention than average, scoring higher than 51% 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 283,576 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them