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Identification and systematic annotation of tissue-specific differentially methylated regions using the Illumina 450k array

Overview of attention for article published in Epigenetics & Chromatin, August 2013
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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1 news outlet
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3 X users
patent
2 patents

Citations

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197 Dimensions

Readers on

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212 Mendeley
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Title
Identification and systematic annotation of tissue-specific differentially methylated regions using the Illumina 450k array
Published in
Epigenetics & Chromatin, August 2013
DOI 10.1186/1756-8935-6-26
Pubmed ID
Authors

Roderick C Slieker, Steffan D Bos, Jelle J Goeman, Judith VMG Bovée, Rudolf P Talens, Ruud van der Breggen, H Eka D Suchiman, Eric-Wubbo Lameijer, Hein Putter, Erik B van den Akker, Yanju Zhang, J Wouter Jukema, P Eline Slagboom, Ingrid Meulenbelt, Bastiaan T Heijmans

Abstract

DNA methylation has been recognized as a key mechanism in cell differentiation. Various studies have compared tissues to characterize epigenetically regulated genomic regions, but due to differences in study design and focus there still is no consensus as to the annotation of genomic regions predominantly involved in tissue-specific methylation. We used a new algorithm to identify and annotate tissue-specific differentially methylated regions (tDMRs) from Illumina 450k chip data for four peripheral tissues (blood, saliva, buccal swabs and hair follicles) and six internal tissues (liver, muscle, pancreas, subcutaneous fat, omentum and spleen with matched blood samples).

X Demographics

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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United Kingdom 2 <1%
Spain 2 <1%
Uruguay 1 <1%
New Zealand 1 <1%
Denmark 1 <1%
Belgium 1 <1%
Nigeria 1 <1%
United States 1 <1%
Other 0 0%
Unknown 200 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 33%
Researcher 48 23%
Student > Master 21 10%
Student > Doctoral Student 13 6%
Professor > Associate Professor 12 6%
Other 32 15%
Unknown 16 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 40%
Biochemistry, Genetics and Molecular Biology 36 17%
Medicine and Dentistry 30 14%
Computer Science 12 6%
Neuroscience 10 5%
Other 18 8%
Unknown 22 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 12 May 2020.
All research outputs
#1,805,242
of 22,723,682 outputs
Outputs from Epigenetics & Chromatin
#51
of 564 outputs
Outputs of similar age
#16,511
of 197,243 outputs
Outputs of similar age from Epigenetics & Chromatin
#2
of 10 outputs
Altmetric has tracked 22,723,682 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 564 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 90% 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 197,243 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 91% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.