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Quantitative comparison of DNA methylation assays for biomarker development and clinical applications

Overview of attention for article published in Nature Biotechnology, June 2016
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
9 news outlets
blogs
4 blogs
twitter
120 X users
patent
2 patents
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
272 Dimensions

Readers on

mendeley
549 Mendeley
citeulike
3 CiteULike
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Title
Quantitative comparison of DNA methylation assays for biomarker development and clinical applications
Published in
Nature Biotechnology, June 2016
DOI 10.1038/nbt.3605
Pubmed ID
Abstract

DNA methylation patterns are altered in numerous diseases and often correlate with clinically relevant information such as disease subtypes, prognosis and drug response. With suitable assays and after validation in large cohorts, such associations can be exploited for clinical diagnostics and personalized treatment decisions. Here we describe the results of a community-wide benchmarking study comparing the performance of all widely used methods for DNA methylation analysis that are compatible with routine clinical use. We shipped 32 reference samples to 18 laboratories in seven different countries. Researchers in those laboratories collectively contributed 21 locus-specific assays for an average of 27 predefined genomic regions, as well as six global assays. We evaluated assay sensitivity on low-input samples and assessed the assays' ability to discriminate between cell types. Good agreement was observed across all tested methods, with amplicon bisulfite sequencing and bisulfite pyrosequencing showing the best all-round performance. Our technology comparison can inform the selection, optimization and use of DNA methylation assays in large-scale validation studies, biomarker development and clinical diagnostics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 120 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 549 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 <1%
United States 3 <1%
Spain 2 <1%
Australia 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Belgium 1 <1%
Italy 1 <1%
Other 2 <1%
Unknown 533 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 122 22%
Student > Ph. D. Student 112 20%
Student > Master 44 8%
Student > Bachelor 41 7%
Student > Postgraduate 37 7%
Other 113 21%
Unknown 80 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 189 34%
Agricultural and Biological Sciences 148 27%
Medicine and Dentistry 48 9%
Computer Science 13 2%
Chemistry 8 1%
Other 48 9%
Unknown 95 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 164. 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 June 2023.
All research outputs
#245,038
of 25,225,182 outputs
Outputs from Nature Biotechnology
#529
of 8,767 outputs
Outputs of similar age
#4,850
of 361,045 outputs
Outputs of similar age from Nature Biotechnology
#7
of 120 outputs
Altmetric has tracked 25,225,182 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,767 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done particularly well, scoring higher than 93% 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 361,045 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 98% of its contemporaries.
We're also able to compare this research output to 120 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 95% of its contemporaries.