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R-Gada: a fast and flexible pipeline for copy number analysis in association studies

Overview of attention for article published in BMC Bioinformatics, July 2010
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
88 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
R-Gada: a fast and flexible pipeline for copy number analysis in association studies
Published in
BMC Bioinformatics, July 2010
DOI 10.1186/1471-2105-11-380
Pubmed ID
Authors

Roger Pique-Regi, Alejandro Cáceres, Juan R González

Mendeley readers

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 2 2%
Netherlands 1 1%
France 1 1%
Germany 1 1%
Kenya 1 1%
Brazil 1 1%
Israel 1 1%
Italy 1 1%
Canada 1 1%
Other 3 3%
Unknown 75 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 33%
Researcher 22 25%
Student > Doctoral Student 7 8%
Student > Bachelor 5 6%
Professor > Associate Professor 5 6%
Other 14 16%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 43%
Biochemistry, Genetics and Molecular Biology 19 22%
Medicine and Dentistry 11 13%
Computer Science 5 6%
Mathematics 3 3%
Other 2 2%
Unknown 10 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 August 2015.
All research outputs
#7,550,194
of 23,033,713 outputs
Outputs from BMC Bioinformatics
#3,042
of 7,318 outputs
Outputs of similar age
#34,315
of 95,894 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 59 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,318 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 50% 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 95,894 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.