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Accelerometers for the Assessment of Concussion in Male Athletes: A Systematic Review and Meta-Analysis

Overview of attention for article published in Sports Medicine, July 2016
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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 (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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12 X users

Citations

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60 Dimensions

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200 Mendeley
Title
Accelerometers for the Assessment of Concussion in Male Athletes: A Systematic Review and Meta-Analysis
Published in
Sports Medicine, July 2016
DOI 10.1007/s40279-016-0582-1
Pubmed ID
Authors

James H. Brennan, Biswadev Mitra, Anneliese Synnot, Joanne McKenzie, Catherine Willmott, Andrew S. McIntosh, Jerome J. Maller, Jeffrey V. Rosenfeld

Abstract

Concussion is common in the sporting arena and is often challenging to diagnose. The development of wearable head impact measurement systems has enabled measurement of head kinematics in contact sports. The objective of this systematic review was to determine the characteristics of head kinematics measured by an accelerometer system among male athletes diagnosed with concussion. A systematic search was conducted in July 2015. Inclusion criteria were English-language studies published after 1990 with a study population of male athletes, in any sport, where objectively measured biomechanical forces were reported in the setting of a concussive event. The random effects meta-analysis model was used to combine estimates of biomechanical force measurements in concussed athletes. Thirteen studies met the inclusion criteria, the majority of which were conducted with high school and college football teams in the US. Included studies measured a combination of linear and rotational acceleration. The meta-analysed mean peak linear head acceleration associated with a concussive episode was 98.68 g (95 % CI 82.36-115.00) and mean peak rotational head acceleration was 5776.60 rads/s(2) (95 % CI 4583.53-6969.67). The estimates of the biomechanical forces were consistent across studies, with I (2) values of 0 % for both meta-analyses. Head impact monitoring through accelerometery has been shown to be useful with regard to characterising the kinematic load to the head associated with concussion. Future research with improved clinical outcome measures and head kinematic data may improve accuracy when evaluating concussion, and may assist with both interpretation of biomechanical data and the development and utilisation of implementation strategies for the technology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Switzerland 1 <1%
Unknown 198 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 33 17%
Student > Ph. D. Student 30 15%
Researcher 25 13%
Student > Master 19 10%
Other 14 7%
Other 34 17%
Unknown 45 23%
Readers by discipline Count As %
Medicine and Dentistry 33 17%
Engineering 23 12%
Sports and Recreations 23 12%
Psychology 13 7%
Neuroscience 12 6%
Other 37 19%
Unknown 59 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 23 March 2017.
All research outputs
#1,994,819
of 24,885,505 outputs
Outputs from Sports Medicine
#1,388
of 2,873 outputs
Outputs of similar age
#35,759
of 362,442 outputs
Outputs of similar age from Sports Medicine
#32
of 51 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,873 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.0. This one has gotten more attention than average, scoring higher than 51% 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 362,442 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.