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HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples

Overview of attention for article published in Genome Biology, February 2022
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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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
26 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
23 Mendeley
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Title
HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples
Published in
Genome Biology, February 2022
DOI 10.1186/s13059-022-02627-9
Pubmed ID
Authors

Haojie Chen, Shiqi Tu, Chongze Yuan, Feng Tian, Yijing Zhang, Yihua Sun, Zhen Shao

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Master 3 13%
Student > Ph. D. Student 2 9%
Professor 1 4%
Student > Bachelor 1 4%
Other 1 4%
Unknown 11 48%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 26%
Agricultural and Biological Sciences 4 17%
Computer Science 1 4%
Immunology and Microbiology 1 4%
Social Sciences 1 4%
Other 0 0%
Unknown 10 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 13 May 2022.
All research outputs
#1,871,591
of 25,392,582 outputs
Outputs from Genome Biology
#1,561
of 4,470 outputs
Outputs of similar age
#45,275
of 450,103 outputs
Outputs of similar age from Genome Biology
#42
of 74 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 65% 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 450,103 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 89% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.