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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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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27 X users
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1 Facebook page

Readers on

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75 Mendeley
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Article details
Title
Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension
Published in
Hypertension, June 2022
DOI 10.1161/hypertensionaha.122.19324
Pubmed ID
Authors

Tanika N. Kelly, Xiao Sun, Karen Y. He, Michael R. Brown, Sarah A. Gagliano Taliun, Jacklyn N. Hellwege, Marguerite R. Irvin, Xuenan Mi, Jennifer A. Brody, Nora Franceschini, Xiuqing Guo, Shih-Jen Hwang, Paul S. de Vries, Yan Gao, Arden Moscati, Girish N. Nadkarni, Lisa R. Yanek, Tali Elfassy, Jennifer A. Smith, Ren-Hua Chung, Amber L. Beitelshees, Amit Patki, Stella Aslibekyan, Brandon M. Blobner, Juan M. Peralta, Themistocles L. Assimes, Walter R. Palmas, Chunyu Liu, Adam P. Bress, Zhijie Huang, Lewis C. Becker, Chii-Min Hwa, Jeffrey R. O’Connell, Jenna C. Carlson, Helen R. Warren, Sayantan Das, Ayush Giri, Lisa W. Martin, W. Craig Johnson, Ervin R. Fox, Erwin P. Bottinger, Alexander C. Razavi, Dhananjay Vaidya, Lee-Ming Chuang, Yen-Pei C. Chang, Take Naseri, Deepti Jain, Hyun Min Kang, Adriana M. Hung, Vinodh Srinivasasainagendra, Beverly M. Snively, Dongfeng Gu, May E. Montasser, Muagututi’a Sefuiva Reupena, Benjamin D. Heavner, Jonathon LeFaive, James E. Hixson, Kenneth M. Rice, Fei Fei Wang, Jonas B. Nielsen, Jianfeng Huang, Alyna T. Khan, Wei Zhou, Jovia L. Nierenberg, Cathy C. Laurie, Nicole D. Armstrong, Mengyao Shi, Yang Pan, Adrienne M. Stilp, Leslie Emery, Quenna Wong, Nicola L. Hawley, Ryan L. Minster, Joanne E. Curran, Patricia B. Munroe, Daniel E. Weeks, Kari E. North, Russell P. Tracy, Eimear E. Kenny, Daichi Shimbo, Aravinda Chakravarti, Stephen S. Rich, Alex P. Reiner, John Blangero, Lifestyle The Samoan Obesity, Susan Redline, Braxton D. Mitchell, Dabeeru C. Rao, Yii-Der Ida Chen, Sharon L.R. Kardia, Robert C. Kaplan, Rasika A. Mathias, Jiang He, Bruce M. Psaty, Myriam Fornage, Ruth J.F. Loos, Adolfo Correa, Eric Boerwinkle, Jerome I. Rotter, Charles Kooperberg, Todd L. Edwards, Gonçalo R. Abecasis, Xiaofeng Zhu, Daniel Levy, Donna K. Arnett, Alanna C. Morrison

Abstract

The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure. We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants. Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (P<5×10-8). Among them, a rare intergenic variant at novel locus, LOC100506274, was associated with lower systolic blood pressure in stage-1 (beta [SE]=-32.6 [6.0]; P=4.99×10-8) but not stage-2 analysis (P=0.11). Furthermore, a novel common variant at the known INSR locus was suggestively associated with diastolic blood pressure in stage-1 (beta [SE]=-0.36 [0.07]; P=4.18×10-7) and attained genome-wide significance in stage-2 (beta [SE]=-0.29 [0.03]; P=7.28×10-23). Nineteen additional signals suggestively associated with blood pressure in meta-analysis of single and aggregate rare variant findings (P<1×10-6 and P<1×10-4, respectively). We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 75 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 %
Unknown 75 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 6 8%
Researcher 5 7%
Student > Master 4 5%
Student > Bachelor 3 4%
Professor 3 4%
Other 7 9%
Unknown 47 63%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 15 20%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Unspecified 1 1%
Environmental Science 1 1%
Other 3 4%
Unknown 50 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 26 October 2022.
All research outputs
#2,742,900
of 30,040,664 outputs
Outputs from Hypertension
#1,329
of 8,104 outputs
Outputs of similar age
#49,536
of 452,767 outputs
Outputs of similar age from Hypertension
#32
of 83 outputs
Altmetric has tracked 30,040,664 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,104 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.9. This one has done well, scoring higher than 83% 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 452,767 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 89% of its contemporaries.
We're also able to compare this research output to 83 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 61% of its contemporaries.