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Comparative analysis of affinity-based 5-hydroxymethylation enrichment techniques

Overview of attention for article published in Nucleic Acids Research, November 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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3 X users
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1 patent
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1 Facebook page
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1 Wikipedia page

Citations

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47 Dimensions

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92 Mendeley
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Title
Comparative analysis of affinity-based 5-hydroxymethylation enrichment techniques
Published in
Nucleic Acids Research, November 2013
DOI 10.1093/nar/gkt1080
Pubmed ID
Authors

John P. Thomson, Jennifer M. Hunter, Colm E. Nestor, Donncha S. Dunican, Rémi Terranova, Jonathan G. Moggs, Richard R. Meehan

Abstract

The epigenetic modification of 5-hydroxymethylcytosine (5hmC) is receiving great attention due to its potential role in DNA methylation reprogramming and as a cell state identifier. Given this interest, it is important to identify reliable and cost-effective methods for the enrichment of 5hmC marked DNA for downstream analysis. We tested three commonly used affinity-based enrichment techniques; (i) antibody, (ii) chemical capture and (iii) protein affinity enrichment and assessed their ability to accurately and reproducibly report 5hmC profiles in mouse tissues containing high (brain) and lower (liver) levels of 5hmC. The protein-affinity technique is a poor reporter of 5hmC profiles, delivering 5hmC patterns that are incompatible with other methods. Both antibody and chemical capture-based techniques generate highly similar genome-wide patterns for 5hmC, which are independently validated by standard quantitative PCR (qPCR) and glucosyl-sensitive restriction enzyme digestion (gRES-qPCR). Both antibody and chemical capture generated profiles reproducibly link to unique chromatin modification profiles associated with 5hmC. However, there appears to be a slight bias of the antibody to bind to regions of DNA rich in simple repeats. Ultimately, the increased specificity observed with chemical capture-based approaches makes this an attractive method for the analysis of locus-specific or genome-wide patterns of 5hmC.

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X Demographics

The data shown below were collected from the profiles of 3 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 1%
Germany 1 1%
Brazil 1 1%
Unknown 87 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 28%
Researcher 26 28%
Student > Bachelor 5 5%
Student > Master 5 5%
Professor 4 4%
Other 12 13%
Unknown 14 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 45%
Biochemistry, Genetics and Molecular Biology 19 21%
Chemistry 5 5%
Medicine and Dentistry 4 4%
Business, Management and Accounting 2 2%
Other 5 5%
Unknown 16 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 21 July 2020.
All research outputs
#4,572,992
of 25,374,647 outputs
Outputs from Nucleic Acids Research
#7,140
of 27,550 outputs
Outputs of similar age
#40,587
of 228,797 outputs
Outputs of similar age from Nucleic Acids Research
#98
of 391 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,550 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 73% 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 228,797 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 82% of its contemporaries.
We're also able to compare this research output to 391 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 74% of its contemporaries.