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Modelling apical columnar epithelium mechanics from circumferential contractile fibres

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, April 2017
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Title
Modelling apical columnar epithelium mechanics from circumferential contractile fibres
Published in
Biomechanics and Modeling in Mechanobiology, April 2017
DOI 10.1007/s10237-017-0905-7
Pubmed ID
Authors

A. R. B. Boyd, S. Moore, J. E. Sader, P. V. S. Lee

Abstract

Simple columnar epithelia are formed by individual epithelial cells connecting together to form single cell high sheets. They are a main component of many important body tissues and are heavily involved in both normal and cancerous cell activities. Prior experimental observations have identified a series of contractile fibres around the circumference of a cross section located in the upper (apical) region of each cell. While other potential mechanisms have been identified in both the experimental and theoretical literature, these circumferential fibres are considered to be the most likely mechanism controlling movement of this cross section. Here, we investigated the impact of circumferential contractile fibres on movement of the cross section by creating an alternate model where movement is driven from circumferential contractile fibres, without any other potential mechanisms. In this model, we utilised a circumferential contractile fibre representation based on investigations into the movement of contractile fibres as an individual system, treated circumferential fibres as a series of units, and matched our model simulation to experimental geometries. By testing against laser ablation datasets sourced from existing literature, we found that circumferential fibres can reproduce the majority of cross-sectional movements. We also investigated model predictions related to various aspects of cross-sectional movement, providing insights into epithelium mechanics and demonstrating the usefulness of our modelling approach.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Researcher 3 21%
Student > Doctoral Student 1 7%
Professor 1 7%
Other 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Engineering 2 14%
Mathematics 1 7%
Chemical Engineering 1 7%
Physics and Astronomy 1 7%
Other 1 7%
Unknown 5 36%
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 17 April 2017.
All research outputs
#20,715,632
of 25,448,590 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#406
of 526 outputs
Outputs of similar age
#250,000
of 324,873 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#13
of 14 outputs
Altmetric has tracked 25,448,590 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 526 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 14th percentile – i.e., 14% 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 324,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.