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Accounting for cellular heterogeneity is critical in epigenome-wide association studies

Overview of attention for article published in Genome Biology (Online Edition), January 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
49 tweeters
patent
2 patents
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
695 Dimensions

Readers on

mendeley
551 Mendeley
citeulike
2 CiteULike
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Title
Accounting for cellular heterogeneity is critical in epigenome-wide association studies
Published in
Genome Biology (Online Edition), January 2014
DOI 10.1186/gb-2014-15-2-r31
Pubmed ID
Authors

Andrew E Jaffe, Rafael A Irizarry

Abstract

Epigenome-wide association studies of human disease and other quantitative traits are becoming increasingly common. A series of papers reporting age-related changes in DNA methylation profiles in peripheral blood have already been published. However, blood is a heterogeneous collection of different cell types, each with a very different DNA methylation profile.

Twitter Demographics

The data shown below were collected from the profiles of 49 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 551 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
United Kingdom 5 <1%
Germany 3 <1%
Switzerland 2 <1%
Ireland 2 <1%
Spain 2 <1%
New Zealand 1 <1%
Netherlands 1 <1%
Israel 1 <1%
Other 6 1%
Unknown 519 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 159 29%
Researcher 120 22%
Student > Master 55 10%
Student > Doctoral Student 45 8%
Student > Bachelor 39 7%
Other 80 15%
Unknown 53 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 193 35%
Biochemistry, Genetics and Molecular Biology 116 21%
Medicine and Dentistry 51 9%
Computer Science 20 4%
Neuroscience 17 3%
Other 78 14%
Unknown 76 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 65. 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 07 August 2020.
All research outputs
#427,194
of 18,571,001 outputs
Outputs from Genome Biology (Online Edition)
#343
of 3,730 outputs
Outputs of similar age
#5,694
of 271,506 outputs
Outputs of similar age from Genome Biology (Online Edition)
#16
of 139 outputs
Altmetric has tracked 18,571,001 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. 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 271,506 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 97% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.