↓ Skip to main content

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

Overview of attention for article published in Bioinformatics, March 2015
Altmetric Badge

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
2569 Dimensions

Readers on

mendeley
1051 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 1,051 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Germany 1 <1%
Switzerland 1 <1%
Australia 1 <1%
Italy 1 <1%
Spain 1 <1%
Sweden 1 <1%
Unknown 1042 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 306 29%
Researcher 126 12%
Student > Master 116 11%
Student > Bachelor 87 8%
Student > Doctoral Student 57 5%
Other 128 12%
Unknown 231 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 380 36%
Agricultural and Biological Sciences 210 20%
Medicine and Dentistry 42 4%
Neuroscience 30 3%
Computer Science 29 3%
Other 93 9%
Unknown 267 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
#790,017
of 26,017,215 outputs
Outputs from Bioinformatics
#162
of 12,996 outputs
Outputs of similar age
#9,631
of 278,386 outputs
Outputs of similar age from Bioinformatics
#4
of 188 outputs
Altmetric has tracked 26,017,215 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 12,996 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. 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 278,386 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.