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Identification of genetic variants associated with diabetic kidney disease in multiple Korean cohorts via a genome-wide association study mega-analysis

Overview of attention for article published in BMC Medicine, January 2023
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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 (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
15 X users

Readers on

mendeley
15 Mendeley
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Title
Identification of genetic variants associated with diabetic kidney disease in multiple Korean cohorts via a genome-wide association study mega-analysis
Published in
BMC Medicine, January 2023
DOI 10.1186/s12916-022-02723-4
Pubmed ID
Authors

Heejin Jin, Ye An Kim, Young Lee, Seung-hyun Kwon, Ah Ra Do, Sujin Seo, Sungho Won, Je Hyun Seo

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 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 3 20%
Researcher 2 13%
Student > Bachelor 2 13%
Student > Ph. D. Student 1 7%
Other 1 7%
Other 1 7%
Unknown 5 33%
Readers by discipline Count As %
Unspecified 3 20%
Biochemistry, Genetics and Molecular Biology 3 20%
Medicine and Dentistry 2 13%
Agricultural and Biological Sciences 1 7%
Unknown 6 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 28 April 2023.
All research outputs
#3,768,568
of 25,805,386 outputs
Outputs from BMC Medicine
#2,155
of 4,095 outputs
Outputs of similar age
#76,437
of 480,472 outputs
Outputs of similar age from BMC Medicine
#43
of 109 outputs
Altmetric has tracked 25,805,386 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,095 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.2. This one is in the 47th percentile – i.e., 47% 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 480,472 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 84% of its contemporaries.
We're also able to compare this research output to 109 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 60% of its contemporaries.