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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 (Online Edition), 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 tweeters

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
157 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 (Online Edition), 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

Twitter Demographics

The data shown below were collected from the profiles of 50 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 29%
Researcher 25 16%
Student > Bachelor 17 11%
Student > Master 16 10%
Other 7 4%
Other 24 15%
Unknown 23 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 68 43%
Agricultural and Biological Sciences 17 11%
Medicine and Dentistry 7 4%
Neuroscience 6 4%
Computer Science 5 3%
Other 20 13%
Unknown 34 22%

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
#578,242
of 23,866,543 outputs
Outputs from Genome Biology (Online Edition)
#388
of 4,250 outputs
Outputs of similar age
#12,998
of 344,692 outputs
Outputs of similar age from Genome Biology (Online Edition)
#9
of 67 outputs
Altmetric has tracked 23,866,543 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 4,250 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. 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 344,692 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.