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Age and sun exposure-related widespread genomic blocks of hypomethylation in nonmalignant skin

Overview of attention for article published in Genome Biology (Online Edition), April 2015
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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)

Mentioned by

1 blog
13 tweeters
5 patents
1 Facebook page


89 Dimensions

Readers on

119 Mendeley
1 CiteULike
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Age and sun exposure-related widespread genomic blocks of hypomethylation in nonmalignant skin
Published in
Genome Biology (Online Edition), April 2015
DOI 10.1186/s13059-015-0644-y
Pubmed ID

Amy R Vandiver, Rafael A Irizarry, Kasper D Hansen, Luis A Garza, Arni Runarsson, Xin Li, Anna L Chien, Timothy S Wang, Sherry G Leung, Sewon Kang, Andrew P Feinberg


Aging and sun exposure are the leading causes of skin cancer. It has been shown that epigenetic changes, such as DNA methylation, are well established mechanisms for cancer, and also have emerging roles in aging and common disease. Here, we directly ask whether DNA methylation is altered following skin aging and/or chronic sun exposure in humans. We compare epidermis and dermis of both sun-protected and sun-exposed skin derived from younger subjects (under 35 years old) and older subjects (over 60 years old), using the Infinium HumanMethylation450 array and whole genome bisulfite sequencing. We observe large blocks of the genome that are hypomethylated in older, sun-exposed epidermal samples, with the degree of hypomethylation associated with clinical measures of photo-aging. We replicate these findings using whole genome bisulfite sequencing, comparing epidermis from an additional set of younger and older subjects. These blocks largely overlap known hypomethylated blocks in colon cancer and we observe that these same regions are similarly hypomethylated in squamous cell carcinoma samples. These data implicate large scale epigenomic change in mediating the effects of environmental damage with photo-aging.

Twitter Demographics

The data shown below were collected from the profiles of 13 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 115 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 22%
Researcher 24 20%
Student > Master 18 15%
Student > Bachelor 12 10%
Student > Postgraduate 5 4%
Other 13 11%
Unknown 21 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 29%
Agricultural and Biological Sciences 29 24%
Medicine and Dentistry 16 13%
Computer Science 5 4%
Nursing and Health Professions 2 2%
Other 9 8%
Unknown 24 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 19 December 2019.
All research outputs
of 20,830,231 outputs
Outputs from Genome Biology (Online Edition)
of 3,986 outputs
Outputs of similar age
of 243,605 outputs
Outputs of similar age from Genome Biology (Online Edition)
of 1 outputs
Altmetric has tracked 20,830,231 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 3,986 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has gotten more attention than average, scoring higher than 64% 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 243,605 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 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