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Genetic analysis of DNA methylation and gene expression levels in whole blood of healthy human subjects

Overview of attention for article published in BMC Genomics, November 2012
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Citations

dimensions_citation
182 Dimensions

Readers on

mendeley
369 Mendeley
citeulike
2 CiteULike
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Title
Genetic analysis of DNA methylation and gene expression levels in whole blood of healthy human subjects
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-636
Pubmed ID
Authors

Kristel R van Eijk, Simone de Jong, Marco PM Boks, Terry Langeveld, Fabrice Colas, Jan H Veldink, Carolien GF de Kovel, Esther Janson, Eric Strengman, Peter Langfelder, René S Kahn, Leonard H van den Berg, Steve Horvath, Roel A Ophoff

Abstract

The predominant model for regulation of gene expression through DNA methylation is an inverse association in which increased methylation results in decreased gene expression levels. However, recent studies suggest that the relationship between genetic variation, DNA methylation and expression is more complex.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 369 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Uruguay 2 <1%
Norway 2 <1%
Sweden 2 <1%
United Kingdom 2 <1%
Germany 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Brazil 1 <1%
Other 4 1%
Unknown 349 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 27%
Researcher 95 26%
Student > Master 38 10%
Professor > Associate Professor 23 6%
Student > Doctoral Student 21 6%
Other 56 15%
Unknown 37 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 149 40%
Biochemistry, Genetics and Molecular Biology 77 21%
Medicine and Dentistry 37 10%
Computer Science 19 5%
Neuroscience 12 3%
Other 24 7%
Unknown 51 14%
Attention Score in Context

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 22 July 2017.
All research outputs
#2,920,495
of 22,685,926 outputs
Outputs from BMC Genomics
#1,093
of 10,616 outputs
Outputs of similar age
#29,584
of 275,707 outputs
Outputs of similar age from BMC Genomics
#51
of 387 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 89% 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 275,707 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 89% of its contemporaries.
We're also able to compare this research output to 387 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.