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

Overview of attention for article published in Genome Biology, February 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 (85th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
50 X users
patent
2 patents
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
895 Dimensions

Readers on

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

Andrew E Jaffe, Rafael A Irizarry

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 605 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 1%
United Kingdom 5 <1%
Germany 3 <1%
Switzerland 2 <1%
Spain 2 <1%
Ireland 2 <1%
France 1 <1%
New Zealand 1 <1%
Belgium 1 <1%
Other 5 <1%
Unknown 574 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 165 27%
Researcher 125 21%
Student > Master 59 10%
Student > Doctoral Student 45 7%
Student > Bachelor 38 6%
Other 87 14%
Unknown 86 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 194 32%
Biochemistry, Genetics and Molecular Biology 124 20%
Medicine and Dentistry 54 9%
Computer Science 22 4%
Mathematics 16 3%
Other 84 14%
Unknown 111 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 November 2022.
All research outputs
#784,714
of 25,837,817 outputs
Outputs from Genome Biology
#514
of 4,513 outputs
Outputs of similar age
#8,214
of 326,111 outputs
Outputs of similar age from Genome Biology
#14
of 98 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has done well, scoring higher than 88% 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 326,111 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 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.