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

Overview of attention for article published in BMC Bioinformatics, May 2011
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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 (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
145 Dimensions

Readers on

mendeley
218 Mendeley
citeulike
9 CiteULike
connotea
1 Connotea
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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

Mendeley readers

The data shown below were compiled from readership statistics for 218 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 184 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 25%
Researcher 54 25%
Student > Master 20 9%
Professor 17 8%
Student > Bachelor 16 7%
Other 37 17%
Unknown 19 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 115 53%
Biochemistry, Genetics and Molecular Biology 40 18%
Computer Science 28 13%
Business, Management and Accounting 2 <1%
Engineering 2 <1%
Other 8 4%
Unknown 23 11%
Attention Score in Context

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
#5,791,739
of 23,289,753 outputs
Outputs from BMC Bioinformatics
#2,112
of 7,377 outputs
Outputs of similar age
#31,944
of 111,177 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 82 outputs
Altmetric has tracked 23,289,753 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 7,377 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 71% 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 111,177 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 71% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.