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
88 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 88 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%
Germany 1 1%
Australia 1 1%
United Kingdom 1 1%
Denmark 1 1%
China 1 1%
Sweden 1 1%
Argentina 1 1%
Other 0 0%
Unknown 76 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 40%
Researcher 19 22%
Student > Bachelor 8 9%
Student > Master 7 8%
Professor > Associate Professor 7 8%
Other 12 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 60%
Biochemistry, Genetics and Molecular Biology 21 24%
Computer Science 4 5%
Mathematics 3 3%
Medicine and Dentistry 2 2%
Other 5 6%

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 12 April 2017.
All research outputs
#244,435
of 7,571,613 outputs
Outputs from Bioinformatics
#129
of 5,453 outputs
Outputs of similar age
#10,657
of 199,717 outputs
Outputs of similar age from Bioinformatics
#5
of 114 outputs
Altmetric has tracked 7,571,613 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 5,453 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 199,717 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 114 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.