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Genome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types

Overview of attention for article published in Genome Biology (Online Edition), January 2017
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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 (92nd percentile)

Mentioned by

47 tweeters
1 research highlight platform


77 Dimensions

Readers on

228 Mendeley
2 CiteULike
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Genome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types
Published in
Genome Biology (Online Edition), January 2017
DOI 10.1186/s13059-017-1156-8
Pubmed ID

Simone Ecker, Lu Chen, Vera Pancaldi, Frederik O. Bagger, José María Fernández, Enrique Carrillo de Santa Pau, David Juan, Alice L. Mann, Stephen Watt, Francesco Paolo Casale, Nikos Sidiropoulos, Nicolas Rapin, Angelika Merkel, Hendrik G. Stunnenberg, Oliver Stegle, Mattia Frontini, Kate Downes, Tomi Pastinen, Taco W. Kuijpers, Daniel Rico, Alfonso Valencia, Stephan Beck, Nicole Soranzo, Dirk S. Paul


A healthy immune system requires immune cells that adapt rapidly to environmental challenges. This phenotypic plasticity can be mediated by transcriptional and epigenetic variability. We apply a novel analytical approach to measure and compare transcriptional and epigenetic variability genome-wide across CD14(+)CD16(-) monocytes, CD66b(+)CD16(+) neutrophils, and CD4(+)CD45RA(+) naïve T cells from the same 125 healthy individuals. We discover substantially increased variability in neutrophils compared to monocytes and T cells. In neutrophils, genes with hypervariable expression are found to be implicated in key immune pathways and are associated with cellular properties and environmental exposure. We also observe increased sex-specific gene expression differences in neutrophils. Neutrophil-specific DNA methylation hypervariable sites are enriched at dynamic chromatin regions and active enhancers. Our data highlight the importance of transcriptional and epigenetic variability for the key role of neutrophils as the first responders to inflammatory stimuli. We provide a resource to enable further functional studies into the plasticity of immune cells, which can be accessed from: http://blueprint-dev.bioinfo.cnio.es/WP10/hypervariability .

Twitter Demographics

The data shown below were collected from the profiles of 47 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 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Denmark 2 <1%
Sweden 1 <1%
Canada 1 <1%
Germany 1 <1%
Mexico 1 <1%
Greece 1 <1%
Japan 1 <1%
Unknown 218 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 28%
Student > Ph. D. Student 56 25%
Student > Master 18 8%
Student > Doctoral Student 14 6%
Student > Bachelor 12 5%
Other 34 15%
Unknown 30 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 71 31%
Agricultural and Biological Sciences 60 26%
Medicine and Dentistry 18 8%
Immunology and Microbiology 17 7%
Computer Science 14 6%
Other 13 6%
Unknown 35 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 November 2019.
All research outputs
of 21,007,539 outputs
Outputs from Genome Biology (Online Edition)
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Outputs of similar age
of 389,333 outputs
Outputs of similar age from Genome Biology (Online Edition)
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Altmetric has tracked 21,007,539 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,999 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has gotten more attention than average, scoring higher than 74% 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 389,333 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 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them