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Virtual ChIP-seq: predicting transcription factor binding by learning from the transcriptome

Overview of attention for article published in Genome Biology (Online Edition), June 2022
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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 (95th percentile)

Mentioned by

news
1 news outlet
twitter
82 tweeters
reddit
1 Redditor

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
155 Mendeley
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Title
Virtual ChIP-seq: predicting transcription factor binding by learning from the transcriptome
Published in
Genome Biology (Online Edition), June 2022
DOI 10.1186/s13059-022-02690-2
Pubmed ID
Authors

Mehran Karimzadeh, Michael M. Hoffman

Twitter Demographics

The data shown below were collected from the profiles of 82 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 155 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 29%
Researcher 41 26%
Student > Master 18 12%
Student > Bachelor 12 8%
Student > Doctoral Student 7 5%
Other 17 11%
Unknown 15 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 61 39%
Agricultural and Biological Sciences 40 26%
Computer Science 16 10%
Medicine and Dentistry 7 5%
Immunology and Microbiology 6 4%
Other 9 6%
Unknown 16 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 29 June 2022.
All research outputs
#686,902
of 22,120,510 outputs
Outputs from Genome Biology (Online Edition)
#524
of 4,038 outputs
Outputs of similar age
#15,640
of 345,462 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 22,120,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,038 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 87% 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 345,462 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 95% 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