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ReadDepth: A Parallel R Package for Detecting Copy Number Alterations from Short Sequencing Reads

Overview of attention for article published in PLOS ONE, January 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

patent
13 patents
wikipedia
1 Wikipedia page
reddit
1 Redditor
q&a
1 Q&A thread

Citations

dimensions_citation
203 Dimensions

Readers on

mendeley
299 Mendeley
citeulike
11 CiteULike
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Title
ReadDepth: A Parallel R Package for Detecting Copy Number Alterations from Short Sequencing Reads
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0016327
Pubmed ID
Authors

Christopher A. Miller, Oliver Hampton, Cristian Coarfa, Aleksandar Milosavljevic

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 5%
United Kingdom 3 1%
France 3 1%
Brazil 3 1%
Korea, Republic of 2 <1%
Japan 2 <1%
Netherlands 2 <1%
Italy 1 <1%
Germany 1 <1%
Other 8 3%
Unknown 260 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 87 29%
Researcher 82 27%
Student > Master 23 8%
Student > Doctoral Student 12 4%
Student > Bachelor 12 4%
Other 47 16%
Unknown 36 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 147 49%
Biochemistry, Genetics and Molecular Biology 54 18%
Computer Science 24 8%
Medicine and Dentistry 17 6%
Chemistry 5 2%
Other 12 4%
Unknown 40 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 10 October 2023.
All research outputs
#3,050,865
of 25,837,817 outputs
Outputs from PLOS ONE
#37,048
of 224,660 outputs
Outputs of similar age
#17,983
of 197,512 outputs
Outputs of similar age from PLOS ONE
#270
of 1,298 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done well, scoring higher than 83% 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 197,512 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 90% of its contemporaries.
We're also able to compare this research output to 1,298 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.