↓ Skip to main content

PeakRanger: A cloud-enabled peak caller for ChIP-seq data

Overview of attention for article published in BMC Bioinformatics, May 2011
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
135 Dimensions

Readers on

mendeley
211 Mendeley
citeulike
9 CiteULike
connotea
1 Connotea
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
PeakRanger: A cloud-enabled peak caller for ChIP-seq data
Published in
BMC Bioinformatics, May 2011
DOI 10.1186/1471-2105-12-139
Pubmed ID
Authors

Xin Feng, Robert Grossman, Lincoln Stein

Mendeley readers

The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 6%
United Kingdom 5 2%
France 3 1%
Germany 2 <1%
Australia 1 <1%
Finland 1 <1%
Netherlands 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Other 6 3%
Unknown 177 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 27%
Researcher 54 26%
Student > Master 19 9%
Student > Bachelor 16 8%
Professor 15 7%
Other 36 17%
Unknown 15 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 114 54%
Biochemistry, Genetics and Molecular Biology 39 18%
Computer Science 28 13%
Business, Management and Accounting 2 <1%
Engineering 2 <1%
Other 9 4%
Unknown 17 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 May 2011.
All research outputs
#4,283,781
of 17,389,828 outputs
Outputs from BMC Bioinformatics
#1,717
of 6,152 outputs
Outputs of similar age
#57,708
of 197,132 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 2 outputs
Altmetric has tracked 17,389,828 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 72% 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 197,132 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.