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Dynamic Response and Residual Helmet Liner Crush Using Cadaver Heads and Standard Headforms

Overview of attention for article published in Annals of Biomedical Engineering, August 2016
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Article details
Title
Dynamic Response and Residual Helmet Liner Crush Using Cadaver Heads and Standard Headforms
Published in
Annals of Biomedical Engineering, August 2016
DOI 10.1007/s10439-016-1712-5
Pubmed ID
Authors
Abstract

Biomechanical headforms are used for helmet certification testing and reconstructing helmeted head impacts; however, their biofidelity and direct applicability to human head and helmet responses remain unclear. Dynamic responses of cadaver heads and three headforms and residual foam liner deformations were compared during motorcycle helmet impacts. Instrumented, helmeted heads/headforms were dropped onto the forehead region against an instrumented flat anvil at 75, 150, and 195 J. Helmets were CT scanned to quantify maximum liner crush depth and crush volume. General linear models were used to quantify the effect of head type and impact energy on linear acceleration, head injury criterion (HIC), force, maximum liner crush depth, and liner crush volume and regression models were used to quantify the relationship between acceleration and both maximum crush depth and crush volume. The cadaver heads generated larger peak accelerations than all three headforms, larger HICs than the International Organization for Standardization (ISO), larger forces than the Hybrid III and ISO, larger maximum crush depth than the ISO, and larger crush volumes than the DOT. These significant differences between the cadaver heads and headforms need to be accounted for when attempting to estimate an impact exposure using a helmet's residual crush depth or volume.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 6 14%
Student > Doctoral Student 4 9%
Researcher 4 9%
Professor 3 7%
Student > Ph. D. Student 3 7%
Other 5 12%
Unknown 18 42%
Readers by discipline
Readers by discipline Count As %
Engineering 16 37%
Medicine and Dentistry 3 7%
Computer Science 1 2%
Sports and Recreations 1 2%
Neuroscience 1 2%
Other 2 5%
Unknown 19 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 June 2019.
All research outputs
#10,547,816
of 32,521,757 outputs
Outputs from Annals of Biomedical Engineering
#1,088
of 3,175 outputs
Outputs of similar age
#115,834
of 335,011 outputs
Outputs of similar age from Annals of Biomedical Engineering
#9
of 34 outputs
Altmetric has tracked 32,521,757 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,175 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 65% 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 335,011 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.