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Modeling the biomechanics of fetal movements

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#23 of 504)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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Title
Modeling the biomechanics of fetal movements
Published in
Biomechanics and Modeling in Mechanobiology, November 2015
DOI 10.1007/s10237-015-0738-1
Pubmed ID
Authors

Stefaan W. Verbruggen, Jessica H. W. Loo, Tayyib T. A. Hayat, Joseph V. Hajnal, Mary A. Rutherford, Andrew T. M. Phillips, Niamh C. Nowlan

Abstract

Fetal movements in the uterus are a natural part of development and are known to play an important role in normal musculoskeletal development. However, very little is known about the biomechanical stimuli that arise during movements in utero, despite these stimuli being crucial to normal bone and joint formation. Therefore, the objective of this study was to create a series of computational steps by which the forces generated during a kick in utero could be predicted from clinically observed fetal movements using novel cine-MRI data of three fetuses, aged 20-22 weeks. A custom tracking software was designed to characterize the movements of joints in utero, and average uterus deflection of [Formula: see text] mm due to kicking was calculated. These observed displacements provided boundary conditions for a finite element model of the uterine environment, predicting an average reaction force of [Formula: see text] N generated by a kick against the uterine wall. Finally, these data were applied as inputs for a musculoskeletal model of a fetal kick, resulting in predicted maximum forces in the muscles surrounding the hip joint of approximately 8 N, while higher maximum forces of approximately 21 N were predicted for the muscles surrounding the knee joint. This study provides a novel insight into the closed mechanical environment of the uterus, with an innovative method allowing elucidation of the biomechanical interaction of the developing fetus with its surroundings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Malaysia 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Unknown 97 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 16%
Researcher 14 14%
Student > Master 12 12%
Student > Bachelor 8 8%
Student > Postgraduate 7 7%
Other 23 23%
Unknown 22 22%
Readers by discipline Count As %
Engineering 29 28%
Medicine and Dentistry 14 14%
Agricultural and Biological Sciences 4 4%
Computer Science 4 4%
Sports and Recreations 4 4%
Other 15 15%
Unknown 32 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 24 January 2018.
All research outputs
#3,039,872
of 24,475,473 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#23
of 504 outputs
Outputs of similar age
#42,376
of 290,574 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#2
of 14 outputs
Altmetric has tracked 24,475,473 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 504 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 95% 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 290,574 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 85% of its contemporaries.
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 has done particularly well, scoring higher than 92% of its contemporaries.