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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 (85th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
49 X users

Readers on

mendeley
169 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

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 49 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 169 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 27%
Researcher 25 15%
Student > Bachelor 20 12%
Student > Master 17 10%
Student > Postgraduate 7 4%
Other 24 14%
Unknown 31 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 71 42%
Agricultural and Biological Sciences 17 10%
Medicine and Dentistry 9 5%
Neuroscience 6 4%
Computer Science 5 3%
Other 19 11%
Unknown 42 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 66. 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
#690,722
of 26,601,484 outputs
Outputs from Genome Biology
#419
of 4,638 outputs
Outputs of similar age
#13,787
of 357,236 outputs
Outputs of similar age from Genome Biology
#10
of 67 outputs
Altmetric has tracked 26,601,484 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 4,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.4. 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 357,236 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 85% of its contemporaries.