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The effect of heteroscedasticity on the prediction efficiency of genome-wide polygenic score for body mass index

Overview of attention for article published in Frontiers in Genetics, November 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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3 X users

Citations

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3 Dimensions

Readers on

mendeley
15 Mendeley
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Title
The effect of heteroscedasticity on the prediction efficiency of genome-wide polygenic score for body mass index
Published in
Frontiers in Genetics, November 2022
DOI 10.3389/fgene.2022.1025568
Pubmed ID
Authors

Eun Ju Baek, Hae-Un Jung, Ju Yeon Chung, Hye In Jung, Shin Young Kwon, Ji Eun Lim, Han Kyul Kim, Ji-One Kang, Bermseok Oh

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 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 %
Unspecified 2 13%
Lecturer > Senior Lecturer 1 7%
Lecturer 1 7%
Student > Master 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 8 53%
Readers by discipline Count As %
Unspecified 2 13%
Medicine and Dentistry 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Energy 1 7%
Agricultural and Biological Sciences 1 7%
Other 0 0%
Unknown 8 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 November 2022.
All research outputs
#15,867,545
of 23,577,654 outputs
Outputs from Frontiers in Genetics
#5,717
of 12,604 outputs
Outputs of similar age
#242,848
of 445,362 outputs
Outputs of similar age from Frontiers in Genetics
#305
of 887 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,604 research outputs from this source. They receive a mean Attention Score of 3.7. 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 445,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 887 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 63% of its contemporaries.