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BayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach

Overview of attention for article published in Genome Biology (Online Edition), January 2014
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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)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog
twitter
16 tweeters
googleplus
2 Google+ users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
68 Mendeley
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Title
BayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach
Published in
Genome Biology (Online Edition), January 2014
DOI 10.1186/gb-2014-15-2-r35
Pubmed ID
Authors

Andrea Riebler, Mirco Menigatti, Jenny Z Song, Aaron L Statham, Clare Stirzaker, Nadiya Mahmud, Charles A Mein, Susan J Clark, Mark D Robinson

Abstract

Affinity capture of DNA methylation combined with high-throughput sequencing strikes a good balancebetween the high cost of whole genome bisulfite sequencing and the low coverage of methylationarrays. We present BayMeth, an empirical Bayes approach that uses a fully methylated control sampleto transform observed read counts into regional methylation levels. In our model, inefficient capturecan readily be distinguished from low methylation levels. BayMeth improves on existing methods,allows explicit modeling of copy number variation, and offers computationally-efficient analyticalmean and variance estimators. BayMeth is available in the Repitools Bioconductor package.

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
China 1 1%
Germany 1 1%
Luxembourg 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 31%
Researcher 18 26%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Professor > Associate Professor 4 6%
Other 13 19%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 38%
Biochemistry, Genetics and Molecular Biology 13 19%
Computer Science 9 13%
Medicine and Dentistry 3 4%
Engineering 3 4%
Other 9 13%
Unknown 5 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 24 April 2020.
All research outputs
#1,282,605
of 17,523,006 outputs
Outputs from Genome Biology (Online Edition)
#1,263
of 3,615 outputs
Outputs of similar age
#19,362
of 267,092 outputs
Outputs of similar age from Genome Biology (Online Edition)
#55
of 138 outputs
Altmetric has tracked 17,523,006 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 3,615 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 65% 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 267,092 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 138 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 60% of its contemporaries.