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3DFAACTS-SNP: using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of type 1 diabetes (T1D) risk

Overview of attention for article published in Epigenetics & Chromatin, June 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
15 Mendeley
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Title
3DFAACTS-SNP: using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of type 1 diabetes (T1D) risk
Published in
Epigenetics & Chromatin, June 2022
DOI 10.1186/s13072-022-00456-5
Pubmed ID
Authors

Ning Liu, Timothy Sadlon, Ying Y. Wong, Stephen Pederson, James Breen, Simon C. Barry

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 20%
Researcher 3 20%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 5 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 20%
Neuroscience 2 13%
Medicine and Dentistry 2 13%
Immunology and Microbiology 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 1 7%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 July 2022.
All research outputs
#6,842,420
of 22,774,233 outputs
Outputs from Epigenetics & Chromatin
#281
of 566 outputs
Outputs of similar age
#130,288
of 436,918 outputs
Outputs of similar age from Epigenetics & Chromatin
#6
of 10 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 566 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 50% 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 436,918 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.