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The epidemiology of boys’ youth lacrosse injuries in the 2015 season

Overview of attention for article published in Injury Epidemiology, February 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 (80th percentile)

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9 tweeters
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1 Facebook page

Citations

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11 Dimensions

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14 Mendeley
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Title
The epidemiology of boys’ youth lacrosse injuries in the 2015 season
Published in
Injury Epidemiology, February 2016
DOI 10.1186/s40621-016-0068-5
Pubmed ID
Authors

Zachary Y. Kerr, Shane V. Caswell, Andrew E. Lincoln, Aristarque Djoko, Thomas P. Dompier

Abstract

Participation in boys' youth lacrosse has dramatically increased in recent years. Yet, research on the incidence of youth lacrosse injuries is limited. This study describes the epidemiology of boys' youth lacrosse injuries. Aggregate injury and exposure data was collected from 550 boys' youth lacrosse players (aged 9-15 years) from eight leagues in four states. Injury frequencies and rates with 95 % confidence intervals (CI) were calculated. Rate ratios (RR) accounting for clustering within league compared game and practice injury rates. During the 2015 season, 155 injuries were reported for a rate of 12.98/1000AE (95 % CI:10.93-15.02). Most injuries occurred during games (60.0 %), resulted in time loss <24 h (83.9 %), and were in the U13/U15 divisions (69.0 %). Most injuries were to the lower extremity (45.2 %), and diagnosed as contusions (51.6 %). Ten concussions (6.5 %) were reported, with seven occurring in the U13/U15 divisions. All injuries resulting in time loss ≥24 h in the U9/U11 divisions were concussions. Most injuries were due to equipment contact, particularly stick contact (35.5 %) and ball contact (14.2 %). Injury rates were higher in games than practices overall (RR = 2.90; 95 % CI:1.81-4.89), and for concussions only (RR = 4.51; 95 % CI:1.89-11.03). Between the U9/U11 and U13/U15 divisions, the overall-injury rate was higher in U9/U11 (RR = 1.23; 95 % CI:1.05-1.44). Our boys' youth lacrosse injury rate was higher than those previously reported, but may be more precise given the larger sample. The large proportion of equipment contact injuries demonstrate the need to adopt currently available coaching instruction and age-appropriate US Lacrosse rules that could better protect youth players.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Bachelor 2 14%
Student > Master 2 14%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Sports and Recreations 4 29%
Medicine and Dentistry 2 14%
Computer Science 1 7%
Decision Sciences 1 7%
Nursing and Health Professions 1 7%
Other 0 0%
Unknown 5 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 February 2018.
All research outputs
#2,445,625
of 13,786,654 outputs
Outputs from Injury Epidemiology
#82
of 154 outputs
Outputs of similar age
#67,126
of 338,766 outputs
Outputs of similar age from Injury Epidemiology
#1
of 1 outputs
Altmetric has tracked 13,786,654 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 154 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.7. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 338,766 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 80% 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