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ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization

Overview of attention for article published in Bioinformatics, March 2015
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
31 X users
patent
2 patents
facebook
2 Facebook pages

Citations

dimensions_citation
2480 Dimensions

Readers on

mendeley
1026 Mendeley
citeulike
3 CiteULike
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Title
ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization
Published in
Bioinformatics, March 2015
DOI 10.1093/bioinformatics/btv145
Pubmed ID
Authors

Guangchuang Yu, Li-Gen Wang, Qing-Yu He

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 1,026 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Italy 2 <1%
Germany 1 <1%
Australia 1 <1%
Switzerland 1 <1%
Spain 1 <1%
Sweden 1 <1%
Unknown 1016 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 303 30%
Researcher 124 12%
Student > Master 115 11%
Student > Bachelor 87 8%
Student > Doctoral Student 56 5%
Other 121 12%
Unknown 220 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 374 36%
Agricultural and Biological Sciences 209 20%
Medicine and Dentistry 43 4%
Neuroscience 29 3%
Computer Science 28 3%
Other 87 8%
Unknown 256 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 August 2023.
All research outputs
#770,879
of 25,373,627 outputs
Outputs from Bioinformatics
#158
of 12,808 outputs
Outputs of similar age
#9,513
of 274,513 outputs
Outputs of similar age from Bioinformatics
#4
of 188 outputs
Altmetric has tracked 25,373,627 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 12,808 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 98% 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 274,513 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 96% of its contemporaries.
We're also able to compare this research output to 188 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 97% of its contemporaries.