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Predicting enhancers in mammalian genomes using supervised hidden Markov models

Overview of attention for article published in BMC Bioinformatics, March 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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
32 X users

Citations

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14 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Predicting enhancers in mammalian genomes using supervised hidden Markov models
Published in
BMC Bioinformatics, March 2019
DOI 10.1186/s12859-019-2708-6
Pubmed ID
Authors

Tobias Zehnder, Philipp Benner, Martin Vingron

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Student > Bachelor 10 19%
Student > Master 6 12%
Researcher 3 6%
Student > Postgraduate 3 6%
Other 5 10%
Unknown 11 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 29%
Agricultural and Biological Sciences 10 19%
Computer Science 6 12%
Engineering 3 6%
Chemistry 2 4%
Other 4 8%
Unknown 12 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 06 April 2019.
All research outputs
#2,228,320
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#521
of 7,672 outputs
Outputs of similar age
#48,261
of 358,807 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 162 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 358,807 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 86% of its contemporaries.
We're also able to compare this research output to 162 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 91% of its contemporaries.