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Integrative analysis of 3604 GWAS reveals multiple novel cell type-specific regulatory associations

Overview of attention for article published in Genome Biology, January 2022
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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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
76 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Integrative analysis of 3604 GWAS reveals multiple novel cell type-specific regulatory associations
Published in
Genome Biology, January 2022
DOI 10.1186/s13059-021-02560-3
Pubmed ID
Authors

Charles E. Breeze, Eric Haugen, Alex Reynolds, Andrew Teschendorff, Jenny van Dongen, Qing Lan, Nathaniel Rothman, Guillaume Bourque, Ian Dunham, Stephan Beck, John Stamatoyannopoulos, Nora Franceschini, Sonja I. Berndt

X Demographics

X Demographics

The data shown below were collected from the profiles of 76 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Bachelor 6 12%
Student > Master 5 10%
Student > Ph. D. Student 4 8%
Professor 2 4%
Other 3 6%
Unknown 21 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 20%
Medicine and Dentistry 6 12%
Agricultural and Biological Sciences 3 6%
Mathematics 2 4%
Computer Science 2 4%
Other 3 6%
Unknown 23 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 25 February 2024.
All research outputs
#864,937
of 25,397,764 outputs
Outputs from Genome Biology
#583
of 4,470 outputs
Outputs of similar age
#21,863
of 515,476 outputs
Outputs of similar age from Genome Biology
#21
of 89 outputs
Altmetric has tracked 25,397,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 86% 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 515,476 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 95% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.