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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)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
39 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
27 Mendeley
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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
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

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 30%
Student > Bachelor 3 11%
Student > Ph. D. Student 3 11%
Student > Master 2 7%
Student > Doctoral Student 1 4%
Other 4 15%
Unknown 6 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 22%
Medicine and Dentistry 4 15%
Chemical Engineering 1 4%
Business, Management and Accounting 1 4%
Agricultural and Biological Sciences 1 4%
Other 6 22%
Unknown 8 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 25 February 2024.
All research outputs
#1,249,148
of 25,385,509 outputs
Outputs from Genome Medicine
#253
of 1,586 outputs
Outputs of similar age
#33,486
of 453,271 outputs
Outputs of similar age from Genome Medicine
#6
of 56 outputs
Altmetric has tracked 25,385,509 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 1,586 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done well, scoring higher than 84% 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 453,271 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 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.