↓ 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
2 blogs
twitter
30 tweeters
facebook
2 Facebook pages

Readers on

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

Twitter Demographics

The data shown below were collected from the profiles of 30 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Italy 2 1%
Spain 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Australia 1 <1%
Sweden 1 <1%
Unknown 140 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 34%
Researcher 34 23%
Student > Master 16 11%
Student > Bachelor 14 9%
Professor > Associate Professor 10 7%
Other 25 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 51%
Biochemistry, Genetics and Molecular Biology 43 29%
Medicine and Dentistry 8 5%
Computer Science 6 4%
Unspecified 5 3%
Other 11 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 19 June 2018.
All research outputs
#377,201
of 11,390,269 outputs
Outputs from Bioinformatics
#167
of 7,444 outputs
Outputs of similar age
#11,514
of 209,940 outputs
Outputs of similar age from Bioinformatics
#4
of 117 outputs
Altmetric has tracked 11,390,269 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 7,444 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 97% 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 209,940 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 94% of its contemporaries.
We're also able to compare this research output to 117 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 96% of its contemporaries.