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A data-driven approach to preprocessing Illumina 450K methylation array data

Overview of attention for article published in BMC Genomics, May 2013
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
9 X users
patent
3 patents

Citations

dimensions_citation
859 Dimensions

Readers on

mendeley
616 Mendeley
citeulike
4 CiteULike
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Title
A data-driven approach to preprocessing Illumina 450K methylation array data
Published in
BMC Genomics, May 2013
DOI 10.1186/1471-2164-14-293
Pubmed ID
Authors

Ruth Pidsley, Chloe C Y Wong, Manuela Volta, Katie Lunnon, Jonathan Mill, Leonard C Schalkwyk

Abstract

As the most stable and experimentally accessible epigenetic mark, DNA methylation is of great interest to the research community. The landscape of DNA methylation across tissues, through development and in disease pathogenesis is not yet well characterized. Thus there is a need for rapid and cost effective methods for assessing genome-wide levels of DNA methylation. The Illumina Infinium HumanMethylation450 (450K) BeadChip is a very useful addition to the available methods for DNA methylation analysis but its complex design, incorporating two different assay methods, requires careful consideration. Accordingly, several normalization schemes have been published. We have taken advantage of known DNA methylation patterns associated with genomic imprinting and X-chromosome inactivation (XCI), in addition to the performance of SNP genotyping assays present on the array, to derive three independent metrics which we use to test alternative schemes of correction and normalization. These metrics also have potential utility as quality scores for datasets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 616 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
United Kingdom 5 <1%
Norway 2 <1%
Brazil 2 <1%
Spain 2 <1%
Israel 1 <1%
Canada 1 <1%
Germany 1 <1%
Denmark 1 <1%
Other 3 <1%
Unknown 593 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 164 27%
Researcher 124 20%
Student > Master 68 11%
Student > Bachelor 46 7%
Student > Doctoral Student 39 6%
Other 92 15%
Unknown 83 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 156 25%
Biochemistry, Genetics and Molecular Biology 139 23%
Medicine and Dentistry 70 11%
Neuroscience 32 5%
Computer Science 25 4%
Other 70 11%
Unknown 124 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 15 February 2023.
All research outputs
#1,825,995
of 24,143,470 outputs
Outputs from BMC Genomics
#420
of 10,916 outputs
Outputs of similar age
#15,063
of 195,693 outputs
Outputs of similar age from BMC Genomics
#5
of 117 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,916 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 195,693 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 92% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.