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Linking Genes to Cardiovascular Diseases: Gene Action and Gene–Environment Interactions

Overview of attention for article published in Journal of Cardiovascular Translational Research, November 2015
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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9 X users

Citations

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54 Mendeley
Title
Linking Genes to Cardiovascular Diseases: Gene Action and Gene–Environment Interactions
Published in
Journal of Cardiovascular Translational Research, November 2015
DOI 10.1007/s12265-015-9658-9
Pubmed ID
Authors

Ares Pasipoularides

Abstract

A unique myocardial characteristic is its ability to grow/remodel in order to adapt; this is determined partly by genes and partly by the environment and the milieu intérieur. In the "post-genomic" era, a need is emerging to elucidate the physiologic functions of myocardial genes, as well as potential adaptive and maladaptive modulations induced by environmental/epigenetic factors. Genome sequencing and analysis advances have become exponential lately, with escalation of our knowledge concerning sometimes controversial genetic underpinnings of cardiovascular diseases. Current technologies can identify candidate genes variously involved in diverse normal/abnormal morphomechanical phenotypes, and offer insights into multiple genetic factors implicated in complex cardiovascular syndromes. The expression profiles of thousands of genes are regularly ascertained under diverse conditions. Global analyses of gene expression levels are useful for cataloging genes and correlated phenotypes, and for elucidating the role of genes in maladies. Comparative expression of gene networks coupled to complex disorders can contribute insights as to how "modifier genes" influence the expressed phenotypes. Increasingly, a more comprehensive and detailed systematic understanding of genetic abnormalities underlying, for example, various genetic cardiomyopathies is emerging. Implementing genomic findings in cardiology practice may well lead directly to better diagnosing and therapeutics. There is currently evolving a strong appreciation for the value of studying gene anomalies, and doing so in a non-disjointed, cohesive manner. However, it is challenging for many-practitioners and investigators-to comprehend, interpret, and utilize the clinically increasingly accessible and affordable cardiovascular genomics studies. This survey addresses the need for fundamental understanding in this vital area.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Bachelor 9 17%
Student > Ph. D. Student 6 11%
Student > Doctoral Student 4 7%
Other 2 4%
Other 8 15%
Unknown 14 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 20%
Agricultural and Biological Sciences 8 15%
Medicine and Dentistry 7 13%
Social Sciences 3 6%
Nursing and Health Professions 2 4%
Other 8 15%
Unknown 15 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 December 2015.
All research outputs
#6,651,629
of 24,224,854 outputs
Outputs from Journal of Cardiovascular Translational Research
#172
of 614 outputs
Outputs of similar age
#79,938
of 290,743 outputs
Outputs of similar age from Journal of Cardiovascular Translational Research
#1
of 5 outputs
Altmetric has tracked 24,224,854 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 614 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 71% 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 290,743 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 5 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