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Multiscale forward electromagnetic model of uterine contractions during pregnancy

Overview of attention for article published in BMC Medical Physics, November 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

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Title
Multiscale forward electromagnetic model of uterine contractions during pregnancy
Published in
BMC Medical Physics, November 2012
DOI 10.1186/1756-6649-12-4
Pubmed ID
Authors

Patricio S La Rosa, Hari Eswaran, Hubert Preissl, Arye Nehorai

Abstract

Analyzing and monitoring uterine contractions during pregnancy is relevant to the field of reproductive health assessment. Its clinical importance is grounded in the need to reliably predict the onset of labor at term and pre-term. Preterm births can cause health problems or even be fatal for the fetus. Currently, there are no objective methods for consistently predicting the onset of labor based on sensing of the mechanical or electrophysiological aspects of uterine contractions. Therefore, modeling uterine contractions could help to better interpret such measurements and to develop more accurate methods for predicting labor. In this work, we develop a multiscale forward electromagnetic model of myometrial contractions during pregnancy. In particular, we introduce a model of myometrial current source densities and compute its magnetic field and action potential at the abdominal surface, using Maxwell's equations and a four-compartment volume conductor geometry. To model the current source density at the myometrium we use a bidomain approach. We consider a modified version of the Fitzhugh-Nagumo (FHN) equation for modeling ionic currents in each myocyte, assuming a plateau-type transmembrane potential, and we incorporate the anisotropic nature of the uterus by designing conductivity-tensor fields.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Student > Master 8 18%
Researcher 6 14%
Professor 4 9%
Other 4 9%
Other 7 16%
Unknown 7 16%
Readers by discipline Count As %
Engineering 11 25%
Medicine and Dentistry 7 16%
Agricultural and Biological Sciences 5 11%
Mathematics 4 9%
Physics and Astronomy 4 9%
Other 3 7%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 01 June 2016.
All research outputs
#3,667,146
of 22,685,926 outputs
Outputs from BMC Medical Physics
#1
of 8 outputs
Outputs of similar age
#27,602
of 183,395 outputs
Outputs of similar age from BMC Medical Physics
#1
of 1 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 7 of them.
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 183,395 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them