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Nonlinear Myofilament Regulatory Processes Affect Frequency-Dependent Muscle Fiber Stiffness

Overview of attention for article published in Biophysical Journal, October 2001
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Article details
Title
Nonlinear Myofilament Regulatory Processes Affect Frequency-Dependent Muscle Fiber Stiffness
Published in
Biophysical Journal, October 2001
DOI 10.1016/s0006-3495(01)75875-4
Pubmed ID
Authors
Abstract

To investigate the role of nonlinear myofilament regulatory processes in sarcomeric mechanodynamics, a model of myofilament kinetic processes, including thin filament on-off kinetics and crossbridge cycling kinetics with interactions within and between kinetic processes, was built to predict sarcomeric stiffness dynamics. Linear decomposition of this highly nonlinear model resulted in the identification of distinct contributions by kinetics of recruitment and by kinetics of distortion to the complex stiffness of the sarcomere. Further, it was established that nonlinear kinetic processes, such as those associated with cooperative neighbor interactions or length-dependent crossbridge attachment, contributed unique features to the stiffness spectrum through their effect on recruitment. Myofilament model-derived sarcomeric stiffness reproduces experimentally measured sarcomeric stiffness with remarkable fidelity. Consequently, characteristic features of the experimentally determined stiffness spectrum become interpretable in terms of the underlying contractile mechanisms that are responsible for specific dynamic behaviors.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Professor 4 15%
Researcher 3 12%
Other 1 4%
Student > Doctoral Student 1 4%
Other 4 15%
Unknown 7 27%
Readers by discipline
Readers by discipline Count As %
Engineering 7 27%
Agricultural and Biological Sciences 4 15%
Medicine and Dentistry 2 8%
Veterinary Science and Veterinary Medicine 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 8%
Unknown 9 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 February 2009.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Biophysical Journal
#3,253
of 10,296 outputs
Outputs of similar age
#15,239
of 44,623 outputs
Outputs of similar age from Biophysical Journal
#17
of 60 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,296 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 41st percentile – i.e., 41% 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 44,623 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.