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Investigating developmental cardiovascular biomechanics and the origins of congenital heart defects

Overview of attention for article published in Frontiers in Physiology, October 2014
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Title
Investigating developmental cardiovascular biomechanics and the origins of congenital heart defects
Published in
Frontiers in Physiology, October 2014
DOI 10.3389/fphys.2014.00408
Pubmed ID
Authors

William J. Kowalski, Kerem Pekkan, Joseph P. Tinney, Bradley B. Keller

Abstract

Innovative research on the interactions between biomechanical load and cardiovascular (CV) morphogenesis by multiple investigators over the past 3 decades, including the application of bioengineering approaches, has shown that the embryonic heart adapts both structure and function in order to maintain cardiac output to the rapidly growing embryo. Acute adaptive hemodynamic mechanisms in the embryo include the redistribution of blood flow within the heart, dynamic adjustments in heart rate and developed pressure, and beat to beat variations in blood flow and vascular resistance. These biomechanically relevant events occur coincident with adaptive changes in gene expression and trigger adaptive mechanisms that include alterations in myocardial cell growth and death, regional and global changes in myocardial architecture, and alterations in central vascular morphogenesis and remodeling. These adaptive mechanisms allow the embryo to survive these biomechanical stresses (environmental, maternal) and to compensate for developmental errors (genetic). Recent work from numerous laboratories shows that a subset of these adaptive mechanisms is present in every developing multicellular organism with a "heart" equivalent structure. This chapter will provide the reader with an overview of some of the approaches used to quantify embryonic CV functional maturation and performance, provide several illustrations of experimental interventions that explore the role of biomechanics in the regulation of CV morphogenesis including the role of computational modeling, and identify several critical areas for future investigation as available experimental models and methods expand.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Unknown 80 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 30%
Researcher 12 15%
Student > Master 6 7%
Student > Bachelor 5 6%
Professor 5 6%
Other 8 10%
Unknown 21 26%
Readers by discipline Count As %
Engineering 23 28%
Medicine and Dentistry 12 15%
Agricultural and Biological Sciences 6 7%
Biochemistry, Genetics and Molecular Biology 5 6%
Physics and Astronomy 3 4%
Other 10 12%
Unknown 23 28%
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 07 March 2015.
All research outputs
#14,788,263
of 22,768,097 outputs
Outputs from Frontiers in Physiology
#44
of 82 outputs
Outputs of similar age
#143,504
of 259,774 outputs
Outputs of similar age from Frontiers in Physiology
#3
of 5 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 82 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 259,774 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
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 2 of them.