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Profiling genome-wide DNA methylation

Overview of attention for article published in Epigenetics & Chromatin, June 2016
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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 (85th percentile)

Mentioned by

twitter
10 tweeters
patent
1 patent
wikipedia
1 Wikipedia page

Citations

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190 Dimensions

Readers on

mendeley
671 Mendeley
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Title
Profiling genome-wide DNA methylation
Published in
Epigenetics & Chromatin, June 2016
DOI 10.1186/s13072-016-0075-3
Pubmed ID
Authors

Wai-Shin Yong, Fei-Man Hsu, Pao-Yang Chen

Abstract

DNA methylation is an epigenetic modification that plays an important role in regulating gene expression and therefore a broad range of biological processes and diseases. DNA methylation is tissue-specific, dynamic, sequence-context-dependent and trans-generationally heritable, and these complex patterns of methylation highlight the significance of profiling DNA methylation to answer biological questions. In this review, we surveyed major methylation assays, along with comparisons and biological examples, to provide an overview of DNA methylation profiling techniques. The advances in microarray and sequencing technologies make genome-wide profiling possible at a single-nucleotide or even a single-cell resolution. These profiling approaches vary in many aspects, such as DNA input, resolution, genomic region coverage, and bioinformatics analysis, and selecting a feasible method requires knowledge of these methods. We first introduce the biological background of DNA methylation and its pattern in plants, animals and fungi. We present an overview of major experimental approaches to profiling genome-wide DNA methylation and hydroxymethylation and then extend to the single-cell methylome. To evaluate these methods, we outline their strengths and weaknesses and perform comparisons across the different platforms. Due to the increasing need to compute high-throughput epigenomic data, we interrogate the computational pipeline for bisulfite sequencing data and also discuss the concept of identifying differentially methylated regions (DMRs). This review summarizes the experimental and computational concepts for profiling genome-wide DNA methylation, followed by biological examples. Overall, this review provides researchers useful guidance for the selection of a profiling method suited to specific research questions.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 671 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Finland 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Unknown 664 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 172 26%
Researcher 106 16%
Student > Master 91 14%
Student > Bachelor 80 12%
Student > Postgraduate 43 6%
Other 77 11%
Unknown 102 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 243 36%
Agricultural and Biological Sciences 183 27%
Medicine and Dentistry 26 4%
Computer Science 20 3%
Neuroscience 13 2%
Other 69 10%
Unknown 117 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 01 February 2021.
All research outputs
#2,188,079
of 18,455,180 outputs
Outputs from Epigenetics & Chromatin
#85
of 510 outputs
Outputs of similar age
#39,789
of 269,720 outputs
Outputs of similar age from Epigenetics & Chromatin
#1
of 1 outputs
Altmetric has tracked 18,455,180 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 510 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 82% 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 269,720 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them