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Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci

Overview of attention for article published in Genome Medicine, April 2021
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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 (92nd percentile)

Mentioned by

blogs
1 blog
twitter
36 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
20 Mendeley

What is this page?

Summary Blogs Twitter Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci
Published in
Genome Medicine, April 2021
DOI 10.1186/s13073-021-00877-z
Pubmed ID
33931109
Authors

Charles E. Breeze, Anna Batorsky, Mi Kyeong Lee, Mindy D. Szeto, Xiaoguang Xu, Daniel L. McCartney, Rong Jiang, Amit Patki, Holly J. Kramer, James M. Eales, Laura Raffield, Leslie Lange, Ethan Lange, Peter Durda, Yongmei Liu, Russ P. Tracy, David Van Den Berg, Kathryn L. Evans, William E. Kraus, Svati Shah, Hermant K. Tiwari, Lifang Hou, Eric A. Whitsel, Xiao Jiang, Fadi J. Charchar, Andrea A. Baccarelli, Stephen S. Rich, Andrew P. Morris, Marguerite R. Irvin, Donna K. Arnett, Elizabeth R. Hauser, Jerome I. Rotter, Adolfo Correa, Caroline Hayward, Steve Horvath, Riccardo E. Marioni, Maciej Tomaszewski, Stephan Beck, Sonja I. Berndt, Stephanie J. London, Josyf C. Mychaleckyj, Nora Franceschini

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 36 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 35%
Student > Bachelor 2 10%
Student > Master 2 10%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 4 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 35%
Medicine and Dentistry 2 10%
Chemical Engineering 1 5%
Computer Science 1 5%
Psychology 1 5%
Other 3 15%
Unknown 5 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 18 March 2022.
All research outputs
#1,014,216
of 21,366,128 outputs
Outputs from Genome Medicine
#204
of 1,358 outputs
Outputs of similar age
#26,411
of 338,695 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 21,366,128 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 1,358 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one has done well, scoring higher than 85% 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 338,695 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 92% 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

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