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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
102 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 102 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%
China 1 <1%
Other 2 2%
Unknown 88 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 35%
Researcher 25 25%
Student > Master 11 11%
Student > Bachelor 9 9%
Professor > Associate Professor 8 8%
Other 13 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 61%
Biochemistry, Genetics and Molecular Biology 22 22%
Computer Science 4 4%
Neuroscience 3 3%
Medicine and Dentistry 3 3%
Other 8 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
#277,545
of 8,072,166 outputs
Outputs from Bioinformatics
#143
of 5,632 outputs
Outputs of similar age
#11,129
of 202,098 outputs
Outputs of similar age from Bioinformatics
#5
of 116 outputs
Altmetric has tracked 8,072,166 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 5,632 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 202,098 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.