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Accurate prediction of cell type-specific transcription factor binding

Overview of attention for article published in Genome Biology (Online Edition), January 2019
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
7 news outlets
twitter
48 tweeters

Readers on

mendeley
69 Mendeley
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Title
Accurate prediction of cell type-specific transcription factor binding
Published in
Genome Biology (Online Edition), January 2019
DOI 10.1186/s13059-018-1614-y
Pubmed ID
Authors

Jens Keilwagen, Stefan Posch, Jan Grau

Twitter Demographics

The data shown below were collected from the profiles of 48 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 28%
Researcher 14 20%
Student > Bachelor 9 13%
Student > Master 5 7%
Student > Postgraduate 4 6%
Other 10 14%
Unknown 8 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 43%
Agricultural and Biological Sciences 16 23%
Neuroscience 3 4%
Medicine and Dentistry 3 4%
Computer Science 3 4%
Other 4 6%
Unknown 10 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 78. 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 20 February 2019.
All research outputs
#266,882
of 15,284,829 outputs
Outputs from Genome Biology (Online Edition)
#213
of 3,304 outputs
Outputs of similar age
#11,315
of 381,957 outputs
Outputs of similar age from Genome Biology (Online Edition)
#26
of 228 outputs
Altmetric has tracked 15,284,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,304 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.9. This one has done particularly well, scoring higher than 93% 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 381,957 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 97% of its contemporaries.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.