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Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci

Overview of attention for article published in Nature Genetics, September 2016
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
16 news outlets
twitter
31 X users
patent
3 patents
guideline
1 clinical guideline source

Readers on

mendeley
277 Mendeley
citeulike
3 CiteULike
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Article details
Title
Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci
Published in
Nature Genetics, September 2016
DOI 10.1038/ng.3660
Pubmed ID
Authors

Chunyu Liu, Aldi T Kraja, Jennifer A Smith, Jennifer A Brody, Nora Franceschini, Joshua C Bis, Kenneth Rice, Alanna C Morrison, Yingchang Lu, Stefan Weiss, Xiuqing Guo, Walter Palmas, Lisa W Martin, Yii-Der Ida Chen, Praveen Surendran, Fotios Drenos, James P Cook, Paul L Auer, Audrey Y Chu, Ayush Giri, Wei Zhao, Johanna Jakobsdottir, Li-An Lin, Jeanette M Stafford, Najaf Amin, Hao Mei, Jie Yao, Arend Voorman, Martin G Larson, Megan L Grove, Albert V Smith, Shih-Jen Hwang, Han Chen, Tianxiao Huan, Gulum Kosova, Nathan O Stitziel, Sekar Kathiresan, Nilesh Samani, Heribert Schunkert, Panos Deloukas, Man Li, Christian Fuchsberger, Cristian Pattaro, Mathias Gorski, Charles Kooperberg, George J Papanicolaou, Jacques E Rossouw, Jessica D Faul, Sharon L R Kardia, Claude Bouchard, Leslie J Raffel, André G Uitterlinden, Oscar H Franco, Ramachandran S Vasan, Christopher J O'Donnell, Kent D Taylor, Kiang Liu, Erwin P Bottinger, Omri Gottesman, E Warwick Daw, Franco Giulianini, Santhi Ganesh, Elias Salfati, Tamara B Harris, Lenore J Launer, Marcus Dörr, Stephan B Felix, Rainer Rettig, Henry Völzke, Eric Kim, Wen-Jane Lee, I-Te Lee, Wayne H-H Sheu, Krystal S Tsosie, Digna R Velez Edwards, Yongmei Liu, Adolfo Correa, David R Weir, Uwe Völker, Paul M Ridker, Eric Boerwinkle, Vilmundur Gudnason, Alexander P Reiner, Cornelia M van Duijn, Ingrid B Borecki, Todd L Edwards, Aravinda Chakravarti, Jerome I Rotter, Bruce M Psaty, Ruth J F Loos, Myriam Fornage, Georg B Ehret, Christopher Newton-Cheh, Daniel Levy, Daniel I Chasman

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 277 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 <1%
Kenya 1 <1%
Japan 1 <1%
Ghana 1 <1%
United Kingdom 1 <1%
Unknown 271 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 64 23%
Student > Ph. D. Student 42 15%
Student > Master 28 10%
Other 16 6%
Professor 15 5%
Other 49 18%
Unknown 63 23%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 62 22%
Medicine and Dentistry 60 22%
Agricultural and Biological Sciences 37 13%
Computer Science 6 2%
Social Sciences 6 2%
Other 34 12%
Unknown 72 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 137. 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 09 September 2025.
All research outputs
#339,157
of 28,168,255 outputs
Outputs from Nature Genetics
#594
of 7,997 outputs
Outputs of similar age
#5,724
of 312,623 outputs
Outputs of similar age from Nature Genetics
#13
of 77 outputs
Altmetric has tracked 28,168,255 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.1. This one has done particularly well, scoring higher than 92% 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 312,623 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 98% of its contemporaries.
We're also able to compare this research output to 77 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.