↓ Skip to main content

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

Overview of attention for article published in Genome Biology, February 2014
Altmetric Badge

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 (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

blogs
1 blog
twitter
16 X users
googleplus
2 Google+ users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
70 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
BayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach
Published in
Genome Biology, February 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 70 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 65 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Researcher 18 26%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Professor > Associate Professor 4 6%
Other 14 20%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 37%
Biochemistry, Genetics and Molecular Biology 14 20%
Computer Science 10 14%
Medicine and Dentistry 3 4%
Engineering 3 4%
Other 9 13%
Unknown 5 7%
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 24 April 2020.
All research outputs
#1,980,393
of 25,374,917 outputs
Outputs from Genome Biology
#1,676
of 4,467 outputs
Outputs of similar age
#23,015
of 329,202 outputs
Outputs of similar age from Genome Biology
#45
of 95 outputs
Altmetric has tracked 25,374,917 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 4,467 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 gotten more attention than average, scoring higher than 62% 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 329,202 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 93% of its contemporaries.
We're also able to compare this research output to 95 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 52% of its contemporaries.