↓ Skip to main content

Population Epigenetics

Overview of attention for book
Attention for Chapter 262: Adjusting for Cell Type Composition in DNA Methylation Data Using a Regression-Based Approach
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
30 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.
Chapter title
Adjusting for Cell Type Composition in DNA Methylation Data Using a Regression-Based Approach
Chapter number 262
Book title
Population Epigenetics
Published in
Methods in molecular biology, July 2015
DOI 10.1007/7651_2015_262
Pubmed ID
Book ISBNs
978-1-4939-6901-2, 978-1-4939-6903-6
Authors

Meaghan J. Jones, Sumaiya A. Islam, Rachel D. Edgar, Michael S. Kobor

Abstract

Analysis of DNA methylation in a population context has the potential to uncover novel gene and environment interactions as well as markers of health and disease. In order to find such associations it is important to control for factors which may mask or alter DNA methylation signatures. Since tissue of origin and coinciding cell type composition are major contributors to DNA methylation patterns, and can easily confound important findings, it is vital to adjust DNA methylation data for such differences across individuals. Here we describe the use of a regression method to adjust for cell type composition in DNA methylation data. We specifically discuss what information is required to adjust for cell type composition and then provide detailed instructions on how to perform cell type adjustment on high dimensional DNA methylation data. This method has been applied mainly to Illumina 450K data, but can also be adapted to pyrosequencing or genome-wide bisulfite sequencing data.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Researcher 8 27%
Student > Bachelor 5 17%
Student > Master 2 7%
Student > Postgraduate 2 7%
Other 3 10%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 50%
Biochemistry, Genetics and Molecular Biology 5 17%
Medicine and Dentistry 3 10%
Social Sciences 2 7%
Mathematics 1 3%
Other 2 7%
Unknown 2 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 December 2017.
All research outputs
#9,754,315
of 16,530,799 outputs
Outputs from Methods in molecular biology
#2,654
of 9,562 outputs
Outputs of similar age
#205,221
of 413,887 outputs
Outputs of similar age from Methods in molecular biology
#426
of 1,824 outputs
Altmetric has tracked 16,530,799 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,562 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 69% 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 413,887 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,824 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 73% of its contemporaries.