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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
2 blogs
twitter
26 tweeters
facebook
2 Facebook pages

Readers on

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

Twitter Demographics

The data shown below were collected from the profiles of 26 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Italy 2 2%
Spain 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Sweden 1 <1%
Other 0 0%
Unknown 97 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 35%
Researcher 26 24%
Student > Master 12 11%
Student > Bachelor 9 8%
Professor > Associate Professor 9 8%
Other 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 59%
Biochemistry, Genetics and Molecular Biology 25 23%
Computer Science 4 4%
Medicine and Dentistry 4 4%
Neuroscience 3 3%
Other 9 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 June 2017.
All research outputs
#299,409
of 8,360,145 outputs
Outputs from Bioinformatics
#152
of 5,749 outputs
Outputs of similar age
#11,383
of 203,917 outputs
Outputs of similar age from Bioinformatics
#5
of 116 outputs
Altmetric has tracked 8,360,145 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 5,749 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 203,917 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 116 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 95% of its contemporaries.