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Screening for genes that accelerate the epigenetic aging clock in humans reveals a role for the H3K36 methyltransferase NSD1

Overview of attention for article published in Genome Biology, August 2019
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
50 X users

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
166 Mendeley
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Title
Screening for genes that accelerate the epigenetic aging clock in humans reveals a role for the H3K36 methyltransferase NSD1
Published in
Genome Biology, August 2019
DOI 10.1186/s13059-019-1753-9
Pubmed ID
Authors

Daniel E. Martin-Herranz, Erfan Aref-Eshghi, Marc Jan Bonder, Thomas M. Stubbs, Sanaa Choufani, Rosanna Weksberg, Oliver Stegle, Bekim Sadikovic, Wolf Reik, Janet M. Thornton

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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 27%
Researcher 25 15%
Student > Bachelor 19 11%
Student > Master 17 10%
Student > Postgraduate 7 4%
Other 25 15%
Unknown 28 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 71 43%
Agricultural and Biological Sciences 17 10%
Medicine and Dentistry 9 5%
Neuroscience 6 4%
Computer Science 5 3%
Other 18 11%
Unknown 40 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 18 April 2021.
All research outputs
#655,201
of 25,845,895 outputs
Outputs from Genome Biology
#400
of 4,524 outputs
Outputs of similar age
#13,523
of 354,935 outputs
Outputs of similar age from Genome Biology
#8
of 67 outputs
Altmetric has tracked 25,845,895 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 4,524 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.3. This one has done particularly well, scoring higher than 91% 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 354,935 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 96% of its contemporaries.
We're also able to compare this research output to 67 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.