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Body mass index stratification optimizes polygenic prediction of type 2 diabetes in cross-biobank analyses

Overview of attention for article published in Nature Genetics, June 2024
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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)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

news
1 news outlet
twitter
45 X users
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Readers on

mendeley
24 Mendeley
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Title
Body mass index stratification optimizes polygenic prediction of type 2 diabetes in cross-biobank analyses
Published in
Nature Genetics, June 2024
DOI 10.1038/s41588-024-01782-y
Pubmed ID
Authors

Takafumi Ojima, Shinichi Namba, Ken Suzuki, Kenichi Yamamoto, Kyuto Sonehara, Akira Narita, Yoichiro Kamatani, Gen Tamiya, Masayuki Yamamoto, Toshimasa Yamauchi, Takashi Kadowaki, Yukinori Okada

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 45 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 17%
Researcher 4 17%
Professor 3 13%
Professor > Associate Professor 2 8%
Other 2 8%
Other 4 17%
Unknown 5 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 21%
Unspecified 4 17%
Medicine and Dentistry 3 13%
Agricultural and Biological Sciences 3 13%
Computer Science 2 8%
Other 0 0%
Unknown 7 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 30 August 2024.
All research outputs
#1,106,274
of 26,554,122 outputs
Outputs from Nature Genetics
#1,848
of 7,755 outputs
Outputs of similar age
#15,745
of 318,146 outputs
Outputs of similar age from Nature Genetics
#47
of 100 outputs
Altmetric has tracked 26,554,122 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,755 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.7. This one has done well, scoring higher than 76% 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 318,146 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 100 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.