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Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, April 2014
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Title
Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases
Published in
Frontiers in Bioengineering and Biotechnology, April 2014
DOI 10.3389/fbioe.2014.00008
Pubmed ID
Authors

Tayebeh Jadidi, Hamid Seyyed-Allaei, M. Reza Rahimi Tabar, Alireza Mashaghi

Abstract

A general computational method is introduced to estimate the Poisson's ratio for membranes with small thickness. In this method, the Poisson's ratio is calculated by utilizing a rescaling of inter-particle distances in one lateral direction under periodic boundary conditions. As an example for the coarse grained lipid model introduced by Lenz and Schmid, we calculate the Poisson's ratio in the gel, fluid, and interdigitated phases. Having the Poisson's ratio, enable us to obtain the Young's modulus for the membranes in different phases. The approach may be applied to other membranes such as graphene and tethered membranes in order to predict the temperature dependence of its Poisson's ratio and Young's modulus.

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The data shown below were collected from the profiles of 2 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 73 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 33%
Researcher 15 20%
Student > Bachelor 7 9%
Student > Master 6 8%
Lecturer 4 5%
Other 9 12%
Unknown 9 12%
Readers by discipline Count As %
Engineering 16 21%
Physics and Astronomy 10 13%
Agricultural and Biological Sciences 8 11%
Chemistry 6 8%
Biochemistry, Genetics and Molecular Biology 4 5%
Other 17 23%
Unknown 14 19%
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 22 April 2014.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,122
of 8,503 outputs
Outputs of similar age
#145,710
of 241,520 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#9
of 14 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,503 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 59% 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 241,520 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.