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Large-scale genome-wide association study of coronary artery disease in genetically diverse populations

Overview of attention for article published in Nature Medicine, August 2022
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
28 news outlets
blogs
1 blog
twitter
207 X users
facebook
3 Facebook pages

Citations

dimensions_citation
150 Dimensions

Readers on

mendeley
169 Mendeley
Title
Large-scale genome-wide association study of coronary artery disease in genetically diverse populations
Published in
Nature Medicine, August 2022
DOI 10.1038/s41591-022-01891-3
Pubmed ID
Authors

Catherine Tcheandjieu, Xiang Zhu, Austin T. Hilliard, Shoa L. Clarke, Valerio Napolioni, Shining Ma, Kyung Min Lee, Huaying Fang, Fei Chen, Yingchang Lu, Noah L. Tsao, Sridharan Raghavan, Satoshi Koyama, Bryan R. Gorman, Marijana Vujkovic, Derek Klarin, Michael G. Levin, Nasa Sinnott-Armstrong, Genevieve L. Wojcik, Mary E. Plomondon, Thomas M. Maddox, Stephen W. Waldo, Alexander G. Bick, Saiju Pyarajan, Jie Huang, Rebecca Song, Yuk-Lam Ho, Steven Buyske, Charles Kooperberg, Jeffrey Haessler, Ruth J. F. Loos, Ron Do, Marie Verbanck, Kumardeep Chaudhary, Kari E. North, Christy L. Avery, Mariaelisa Graff, Christopher A. Haiman, Loïc Le Marchand, Lynne R. Wilkens, Joshua C. Bis, Hampton Leonard, Botong Shen, Leslie A. Lange, Ayush Giri, Ozan Dikilitas, Iftikhar J. Kullo, Ian B. Stanaway, Gail P. Jarvik, Adam S. Gordon, Scott Hebbring, Bahram Namjou, Kenneth M. Kaufman, Kaoru Ito, Kazuyoshi Ishigaki, Yoichiro Kamatani, Shefali S. Verma, Marylyn D. Ritchie, Rachel L. Kember, Aris Baras, Luca A. Lotta, Sekar Kathiresan, Elizabeth R. Hauser, Donald R. Miller, Jennifer S. Lee, Danish Saleheen, Peter D. Reaven, Kelly Cho, J. Michael Gaziano, Pradeep Natarajan, Jennifer E. Huffman, Benjamin F. Voight, Daniel J. Rader, Kyong-Mi Chang, Julie A. Lynch, Scott M. Damrauer, Peter W. F. Wilson, Hua Tang, Yan V. Sun, Philip S. Tsao, Christopher J. O’Donnell, Themistocles L. Assimes

Timeline
X Demographics

X Demographics

The data shown below were collected from the profiles of 207 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 169 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 16%
Researcher 23 14%
Student > Bachelor 12 7%
Student > Postgraduate 9 5%
Professor 7 4%
Other 29 17%
Unknown 62 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 25%
Medicine and Dentistry 23 14%
Agricultural and Biological Sciences 9 5%
Psychology 4 2%
Social Sciences 3 2%
Other 17 10%
Unknown 70 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 338. 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 08 January 2024.
All research outputs
#104,382
of 26,567,854 outputs
Outputs from Nature Medicine
#548
of 9,750 outputs
Outputs of similar age
#3,181
of 439,385 outputs
Outputs of similar age from Nature Medicine
#21
of 130 outputs
Altmetric has tracked 26,567,854 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,750 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 109.4. This one has done particularly well, scoring higher than 94% 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 439,385 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 99% of its contemporaries.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.