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A fast and accurate method to detect allelic genomic imbalances underlying mosaic rearrangements using SNP array data

Overview of attention for article published in BMC Bioinformatics, May 2011
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About this Attention Score

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

Mentioned by

patent
2 patents

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
98 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
A fast and accurate method to detect allelic genomic imbalances underlying mosaic rearrangements using SNP array data
Published in
BMC Bioinformatics, May 2011
DOI 10.1186/1471-2105-12-166
Pubmed ID
Authors

Juan R González, Benjamín Rodríguez-Santiago, Alejandro Cáceres, Roger Pique-Regi, Nathaniel Rothman, Stephen J Chanock, Lluís Armengol, Luis A Pérez-Jurado

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Spain 3 3%
United Kingdom 1 1%
France 1 1%
Canada 1 1%
Unknown 87 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 34%
Student > Ph. D. Student 19 19%
Professor > Associate Professor 8 8%
Student > Master 7 7%
Other 5 5%
Other 15 15%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 36%
Biochemistry, Genetics and Molecular Biology 23 23%
Medicine and Dentistry 14 14%
Engineering 4 4%
Mathematics 3 3%
Other 6 6%
Unknown 13 13%
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
#7,475,808
of 22,854,458 outputs
Outputs from BMC Bioinformatics
#3,026
of 7,292 outputs
Outputs of similar age
#41,037
of 111,949 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 85 outputs
Altmetric has tracked 22,854,458 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 7,292 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 111,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.