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Functional sympatholysis and sympathetic escape in a theoretical model for blood flow regulation

Overview of attention for article published in Frontiers in Physiology, May 2014
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Title
Functional sympatholysis and sympathetic escape in a theoretical model for blood flow regulation
Published in
Frontiers in Physiology, May 2014
DOI 10.3389/fphys.2014.00192
Pubmed ID
Authors

Tuhin K. Roy, Timothy W. Secomb

Abstract

A mathematical simulation of flow regulation in vascular networks is used to investigate the interaction between arteriolar vasoconstriction due to sympathetic nerve activity (SNA) and vasodilation due to increased oxygen demand. A network with 13 vessel segments in series is used, each segment representing a different size range of arterioles or venules. The network includes five actively regulating arteriolar segments with time-dependent diameters influenced by shear stress, wall tension, metabolic regulation, and SNA. Metabolic signals are assumed to be propagated upstream along vessel walls via a conducted response. The model exhibits functional sympatholysis, in which sympathetic vasoconstriction is partially abrogated by increases in metabolic demand, and sympathetic escape, in which SNA elicits an initial vasoconstriction followed by vasodilation. In accordance with experimental observations, these phenomena are more prominent in small arterioles than in larger arterioles when SNA is assumed to act equally on arterioles of all sizes. The results imply that a mechanism based on the competing effects on arteriolar tone of SNA and conducted metabolic signals can account for several observed characteristics of functional sympatholysis, including the different responses of large and small arterioles.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Researcher 4 20%
Student > Doctoral Student 3 15%
Student > Bachelor 3 15%
Other 1 5%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Medicine and Dentistry 5 25%
Nursing and Health Professions 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Computer Science 2 10%
Mathematics 1 5%
Other 4 20%
Unknown 4 20%
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 26 May 2014.
All research outputs
#20,230,558
of 22,756,196 outputs
Outputs from Frontiers in Physiology
#9,328
of 13,559 outputs
Outputs of similar age
#191,753
of 226,319 outputs
Outputs of similar age from Frontiers in Physiology
#75
of 106 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,559 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.