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Genes Associated with Thoracic Aortic Aneurysm and Dissection: 2018 Update and Clinical Implications

Overview of attention for article published in AORTA, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

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15 X users

Citations

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75 Dimensions

Readers on

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44 Mendeley
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Title
Genes Associated with Thoracic Aortic Aneurysm and Dissection: 2018 Update and Clinical Implications
Published in
AORTA, July 2018
DOI 10.1055/s-0038-1639612
Pubmed ID
Authors

Adam J. Brownstein, Valentyna Kostiuk, Bulat A. Ziganshin, Mohammad A. Zafar, Helena Kuivaniemi, Simon C. Body, Allen E. Bale, John A. Elefteriades

Abstract

Thoracic aortic aneurysms, with an estimated prevalence in the general population of 1%, are potentially lethal, via rupture or dissection. Over the prior two decades, there has been an exponential increase in our understanding of the genetics of thoracic aortic aneurysm and/or dissection (TAAD). To date, 30 genes have been shown to be associated with the development of TAAD and ∼30% of individuals with nonsyndromic familial TAAD have a pathogenic mutation in one of these genes. This review represents the authors' yearly update summarizing the genes associated with TAAD, including implications for the surgical treatment of TAAD. Molecular genetics will continue to revolutionize the approach to patients afflicted with this devastating disease, permitting the application of genetically personalized aortic care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Other 5 11%
Student > Postgraduate 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 8 18%
Unknown 14 32%
Readers by discipline Count As %
Medicine and Dentistry 18 41%
Biochemistry, Genetics and Molecular Biology 5 11%
Environmental Science 1 2%
Agricultural and Biological Sciences 1 2%
Engineering 1 2%
Other 0 0%
Unknown 18 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 17 August 2018.
All research outputs
#3,688,910
of 25,410,626 outputs
Outputs from AORTA
#4
of 82 outputs
Outputs of similar age
#69,281
of 341,583 outputs
Outputs of similar age from AORTA
#1
of 2 outputs
Altmetric has tracked 25,410,626 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 82 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 96% 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 341,583 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 79% of its contemporaries.
We're also able to compare this research output to 2 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