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GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data

Overview of attention for article published in Genome Biology (Online Edition), June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

blogs
1 blog
twitter
10 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
25 Mendeley
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Title
GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data
Published in
Genome Biology (Online Edition), June 2021
DOI 10.1186/s13059-021-02403-1
Pubmed ID
Authors

Jisu Shin, Sang Hong Lee

Twitter Demographics

The data shown below were collected from the profiles of 10 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 24%
Student > Ph. D. Student 4 16%
Student > Doctoral Student 2 8%
Professor 2 8%
Unspecified 1 4%
Other 2 8%
Unknown 8 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 20%
Medicine and Dentistry 3 12%
Unspecified 2 8%
Agricultural and Biological Sciences 2 8%
Computer Science 2 8%
Other 0 0%
Unknown 11 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 27 July 2021.
All research outputs
#2,453,563
of 20,767,801 outputs
Outputs from Genome Biology (Online Edition)
#2,005
of 3,979 outputs
Outputs of similar age
#56,167
of 340,981 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 20,767,801 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 340,981 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them