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Consensus statement on the methodology of injury and illness surveillance in FINA (aquatic sports)

Overview of attention for article published in British Journal of Sports Medicine, November 2015
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  • Good Attention Score compared to outputs of the same age (68th percentile)

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Article details
Title
Consensus statement on the methodology of injury and illness surveillance in FINA (aquatic sports)
Published in
British Journal of Sports Medicine, November 2015
DOI 10.1136/bjsports-2015-095686
Pubmed ID
Authors
Abstract

Injury and illness surveillance in the aquatic disciplines has been conducted during the FINA World Championships and Olympic Games. The development of an aquatic-specific injury and illness surveillance system will improve the quality of the data collected and the development of preventive measures. Our ultimate objective is to enhance aquatic athlete health and performance. The objective was to refine the injury and illness surveillance protocols to develop aquatic-specific definitions of injury and illness; define aquatic-specific injury location and causation; better describe overuse injuries; regard pre-existing and recurrent injuries; more accurately define aquatic athlete exposures and develop a protocol to capture out-of-competition aquatic athlete health parameters. FINA compiled an Injury and Illness Surveillance Expert Working Group comprised of international experts to review the scientific literature in the field. A consensus meeting was convened to provide an opportunity for debate, following which recommendations were collated. Aquatic-specific injury and illness surveillance protocols covering both the in-competition and out-of-competition time periods were developed. Definitions for all relevant variables were outlined, and documentation forms for athletes and for clinicians were proposed. Recommendations for the implementation of an injury and illness surveillance system for FINA are presented. The FINA consensus authors recommend ongoing in-competition and out-of-competition surveillance to determine injury and illness trends over time. The implementation of the definitions and methodology outlined in this paper will improve the accuracy and value of injury and illness surveillance, and provide important information for injury prevention.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 190 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 %
United States 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Unknown 187 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 24 13%
Student > Ph. D. Student 17 9%
Student > Bachelor 15 8%
Other 14 7%
Researcher 13 7%
Other 32 17%
Unknown 75 39%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 47 25%
Medicine and Dentistry 33 17%
Nursing and Health Professions 15 8%
Social Sciences 4 2%
Psychology 3 2%
Other 9 5%
Unknown 79 42%
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 20 November 2018.
All research outputs
#10,617,762
of 32,393,211 outputs
Outputs from British Journal of Sports Medicine
#5,131
of 7,221 outputs
Outputs of similar age
#129,023
of 429,492 outputs
Outputs of similar age from British Journal of Sports Medicine
#97
of 112 outputs
Altmetric has tracked 32,393,211 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 7,221 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.9. This one is in the 28th percentile – i.e., 28% 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 429,492 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 68% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.