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Myocardial Architecture, Mechanics, and Fibrosis in Congenital Heart Disease

Overview of attention for article published in Frontiers in Cardiovascular Medicine, May 2017
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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3 X users

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74 Mendeley
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Title
Myocardial Architecture, Mechanics, and Fibrosis in Congenital Heart Disease
Published in
Frontiers in Cardiovascular Medicine, May 2017
DOI 10.3389/fcvm.2017.00030
Pubmed ID
Authors

Sarah Ghonim, Inga Voges, Peter D. Gatehouse, Jennifer Keegan, Michael A. Gatzoulis, Philip J. Kilner, Sonya V. Babu-Narayan

Abstract

Congenital heart disease (CHD) is the most common category of birth defect, affecting 1% of the population and requiring cardiovascular surgery in the first months of life in many patients. Due to advances in congenital cardiovascular surgery and patient management, most children with CHD now survive into adulthood. However, residual and postoperative defects are common resulting in abnormal hemodynamics, which may interact further with scar formation related to surgical procedures. Cardiovascular magnetic resonance (CMR) has become an important diagnostic imaging modality in the long-term management of CHD patients. It is the gold standard technique to assess ventricular volumes and systolic function. Besides this, advanced CMR techniques allow the acquisition of more detailed information about myocardial architecture, ventricular mechanics, and fibrosis. The left ventricle (LV) and right ventricle have unique myocardial architecture that underpins their mechanics; however, this becomes disorganized under conditions of volume and pressure overload. CMR diffusion tensor imaging is able to interrogate non-invasively the principal alignments of microstructures in the left ventricular wall. Myocardial tissue tagging (displacement encoding using stimulated echoes) and feature tracking are CMR techniques that can be used to examine the deformation and strain of the myocardium in CHD, whereas 3D feature tracking can assess the twisting motion of the LV chamber. Late gadolinium enhancement imaging and more recently T1 mapping can help in detecting fibrotic myocardial changes and evolve our understanding of the pathophysiology of CHD patients. This review not only gives an overview about available or emerging CMR techniques for assessing myocardial mechanics and fibrosis but it also describes their clinical value and how they can be used to detect abnormalities in myocardial architecture and mechanics in CHD patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Researcher 12 16%
Student > Doctoral Student 8 11%
Student > Bachelor 7 9%
Other 5 7%
Other 18 24%
Unknown 12 16%
Readers by discipline Count As %
Medicine and Dentistry 34 46%
Engineering 8 11%
Biochemistry, Genetics and Molecular Biology 7 9%
Nursing and Health Professions 2 3%
Physics and Astronomy 2 3%
Other 4 5%
Unknown 17 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 October 2019.
All research outputs
#14,346,585
of 22,973,051 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,874
of 6,872 outputs
Outputs of similar age
#175,335
of 313,690 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#9
of 22 outputs
Altmetric has tracked 22,973,051 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,872 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 69% 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 313,690 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 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 54% of its contemporaries.