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Closed‐form equation to estimate the dielectric properties of biological tissues as a function of age

Overview of attention for article published in Bioelectromagnetics, April 2017
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Title
Closed‐form equation to estimate the dielectric properties of biological tissues as a function of age
Published in
Bioelectromagnetics, April 2017
DOI 10.1002/bem.22054
Pubmed ID
Authors

Beadaa Mohammed, Konstanty Bialkowski, Amin Abbosh, Paul C. Mills, Andrew P. Bradley

Abstract

Developing microwave systems for biomedical applications requires accurate dielectric properties of biological tissues for reliable modeling before prototyping and subject testing. Dielectric properties of tissues decrease with age due to the change in their water content, but there are no detailed age-dependent data, especially for young tissue-like newborns, in the literature. In this article, an age-dependent formula to predict the dielectric properties of biological tissues was derived. In the proposed method, the variation of water concentration in each type of tissue as a function of age was used to calculate its relative permittivity and conductivity. The derived formula shows that the concentration of water in each tissue type can be modeled as a negative exponential function of age. The dielectric properties of each tissue type can then be calculated as a function of the dielectric properties of water and dielectric properties of the organ forming the tissue and its water concentration. The derived formula was used to generate the dielectric properties of several types of human tissues at different ages using the dielectric properties of a human adult. Moreover, the formula was validated on pig tissues of different ages. A close agreement was achieved between the calculated and measured data with a maximum difference of only 2%. Bioelectromagnetics. 2017;9999:XX-XX. © 2017 Wiley Periodicals, Inc.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 11%
Professor 2 11%
Researcher 2 11%
Student > Master 2 11%
Student > Bachelor 2 11%
Other 3 17%
Unknown 5 28%
Readers by discipline Count As %
Engineering 7 39%
Computer Science 1 6%
Unspecified 1 6%
Social Sciences 1 6%
Sports and Recreations 1 6%
Other 0 0%
Unknown 7 39%
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 21 April 2017.
All research outputs
#20,000,155
of 24,578,676 outputs
Outputs from Bioelectromagnetics
#1,155
of 1,349 outputs
Outputs of similar age
#241,685
of 314,461 outputs
Outputs of similar age from Bioelectromagnetics
#10
of 15 outputs
Altmetric has tracked 24,578,676 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 1,349 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 4th percentile – i.e., 4% 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 314,461 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 15 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.