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An Improved Genome-Wide Polygenic Score Model for Predicting the Risk of Type 2 Diabetes

Overview of attention for article published in Frontiers in Genetics, February 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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26 Dimensions

Readers on

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64 Mendeley
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Title
An Improved Genome-Wide Polygenic Score Model for Predicting the Risk of Type 2 Diabetes
Published in
Frontiers in Genetics, February 2021
DOI 10.3389/fgene.2021.632385
Pubmed ID
Authors

Wei Liu, Zhenhuang Zhuang, Wenxiu Wang, Tao Huang, Zhonghua Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Researcher 8 13%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Student > Master 4 6%
Other 5 8%
Unknown 28 44%
Readers by discipline Count As %
Medicine and Dentistry 9 14%
Biochemistry, Genetics and Molecular Biology 8 13%
Engineering 4 6%
Neuroscience 2 3%
Computer Science 2 3%
Other 8 13%
Unknown 31 48%
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 26 January 2023.
All research outputs
#19,550,365
of 24,907,378 outputs
Outputs from Frontiers in Genetics
#6,711
of 13,418 outputs
Outputs of similar age
#378,600
of 526,754 outputs
Outputs of similar age from Frontiers in Genetics
#268
of 508 outputs
Altmetric has tracked 24,907,378 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,418 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 41st percentile – i.e., 41% 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 526,754 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 508 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.