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Using high-density DNA methylation arrays to profile copy number alterations

Overview of attention for article published in Genome Biology, February 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
25 X users
patent
6 patents
googleplus
1 Google+ user

Citations

dimensions_citation
120 Dimensions

Readers on

mendeley
179 Mendeley
citeulike
1 CiteULike
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Title
Using high-density DNA methylation arrays to profile copy number alterations
Published in
Genome Biology, February 2014
DOI 10.1186/gb-2014-15-2-r30
Pubmed ID
Authors

Andrew Feber, Paul Guilhamon, Matthias Lechner, Tim Fenton, Gareth A Wilson, Christina Thirlwell, Tiffany J Morris, Adrienne M Flanagan, Andrew E Teschendorff, John D Kelly, Stephan Beck

Abstract

The integration of genomic and epigenomic data is an increasingly popular approach for studying the complex mechanisms driving cancer development. We have developed a method for evaluating both methylation and copy number from high-density DNA methylation arrays. Comparing copy number data from Infinium HumanMethylation450 BeadChips and SNP arrays, we demonstrate that Infinium arrays detect copy number alterations with the sensitivity of SNP platforms. These results show that high-density methylation arrays provide a robust and economic platform for detecting copy number and methylation changes in a single experiment. Our method is available in the ChAMP Bioconductor package: http://www.bioconductor.org/packages/2.13/bioc/html/ChAMP.html.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Uruguay 2 1%
United States 2 1%
France 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Turkey 1 <1%
Other 4 2%
Unknown 163 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 27%
Student > Ph. D. Student 36 20%
Student > Master 23 13%
Student > Bachelor 11 6%
Other 10 6%
Other 27 15%
Unknown 23 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 27%
Biochemistry, Genetics and Molecular Biology 45 25%
Medicine and Dentistry 19 11%
Computer Science 10 6%
Neuroscience 5 3%
Other 11 6%
Unknown 41 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 January 2022.
All research outputs
#1,251,334
of 25,706,302 outputs
Outputs from Genome Biology
#932
of 4,504 outputs
Outputs of similar age
#13,645
of 324,657 outputs
Outputs of similar age from Genome Biology
#29
of 102 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 79% 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 324,657 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 95% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.