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Finite element modelling of equestrian helmet impacts exposes the need to address rotational kinematics in future helmet designs

Overview of attention for article published in Computer Methods in Biomechanics and Biomedical Engineering, July 2010
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policy
1 policy source

Readers on

mendeley
119 Mendeley
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Article details
Title
Finite element modelling of equestrian helmet impacts exposes the need to address rotational kinematics in future helmet designs
Published in
Computer Methods in Biomechanics and Biomedical Engineering, July 2010
DOI 10.1080/10255842.2010.504922
Pubmed ID
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 119 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 119 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 23 19%
Student > Ph. D. Student 20 17%
Student > Bachelor 13 11%
Researcher 12 10%
Student > Doctoral Student 6 5%
Other 15 13%
Unknown 30 25%
Readers by discipline
Readers by discipline Count As %
Engineering 39 33%
Agricultural and Biological Sciences 9 8%
Sports and Recreations 9 8%
Medicine and Dentistry 9 8%
Psychology 5 4%
Other 14 12%
Unknown 34 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2014.
All research outputs
#9,383,726
of 27,356,215 outputs
Outputs from Computer Methods in Biomechanics and Biomedical Engineering
#128
of 1,199 outputs
Outputs of similar age
#42,111
of 112,848 outputs
Outputs of similar age from Computer Methods in Biomechanics and Biomedical Engineering
#1
of 2 outputs
Altmetric has tracked 27,356,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,199 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 83% 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 112,848 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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