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The genetic basis for survivorship in coronary artery disease

Overview of attention for article published in Frontiers in Genetics, January 2013
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Title
The genetic basis for survivorship in coronary artery disease
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2013.00191
Pubmed ID
Authors

Jennifer R. Dungan, Elizabeth R. Hauser, Xuejun Qin, William E. Kraus

Abstract

Survivorship is a trait characterized by endurance and virility in the face of hardship. It is largely considered a psychosocial attribute developed during fatal conditions, rather than a biological trait for robustness in the context of complex, age-dependent diseases like coronary artery disease (CAD). The purpose of this paper is to present the novel phenotype, survivorship in CAD as an observed survival advantage concurrent with clinically significant CAD. We present a model for characterizing survivorship in CAD and its relationships with overlapping time- and clinically-related phenotypes. We offer an optimal measurement interval for investigating survivorship in CAD. We hypothesize genetic contributions to this construct and review the literature for evidence of genetic contribution to overlapping phenotypes in support of our hypothesis. We also present preliminary evidence of genetic effects on survival in people with clinically significant CAD from a primary case-control study of symptomatic coronary disease. Identifying gene variants that confer improved survival in the context of clinically appreciable CAD may improve our understanding of cardioprotective mechanisms acting at the gene level and potentially impact patients clinically in the future. Further, characterizing other survival-variant genetic effects may improve signal-to-noise ratio in detecting gene associations for CAD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Professor 3 25%
Researcher 2 17%
Student > Bachelor 2 17%
Other 1 8%
Lecturer 1 8%
Other 3 25%
Readers by discipline Count As %
Medicine and Dentistry 2 17%
Agricultural and Biological Sciences 2 17%
Unspecified 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Nursing and Health Professions 1 8%
Other 2 17%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 September 2013.
All research outputs
#18,348,542
of 22,723,682 outputs
Outputs from Frontiers in Genetics
#7,000
of 11,757 outputs
Outputs of similar age
#218,065
of 280,763 outputs
Outputs of similar age from Frontiers in Genetics
#236
of 319 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,757 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.