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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, 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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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23 X users

Citations

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74 Dimensions

Readers on

mendeley
185 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, February 2019
DOI 10.1186/s13059-019-1654-y
Pubmed ID
Authors

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 26%
Researcher 28 15%
Student > Master 22 12%
Student > Bachelor 21 11%
Student > Doctoral Student 9 5%
Other 20 11%
Unknown 36 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 78 42%
Agricultural and Biological Sciences 37 20%
Computer Science 8 4%
Medicine and Dentistry 7 4%
Neuroscience 3 2%
Other 15 8%
Unknown 37 20%
Attention Score in Context

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
#2,953,321
of 24,998,746 outputs
Outputs from Genome Biology
#2,238
of 4,419 outputs
Outputs of similar age
#63,018
of 359,007 outputs
Outputs of similar age from Genome Biology
#41
of 60 outputs
Altmetric has tracked 24,998,746 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 4,419 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 359,007 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 60 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.