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Optimization of the Return-to-Sport Paradigm After Anterior Cruciate Ligament Reconstruction: A Critical Step Back to Move Forward

Overview of attention for article published in Sports Medicine, January 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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565 X users
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13 Facebook pages

Citations

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199 Dimensions

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630 Mendeley
Title
Optimization of the Return-to-Sport Paradigm After Anterior Cruciate Ligament Reconstruction: A Critical Step Back to Move Forward
Published in
Sports Medicine, January 2017
DOI 10.1007/s40279-017-0674-6
Pubmed ID
Authors

Bart Dingenen, Alli Gokeler

Abstract

Athletes who have sustained an anterior cruciate ligament (ACL) injury often opt for an ACL reconstruction (ACLR) with the goal and expectation to resume sports. Unfortunately, the proportion of athletes successfully returning to sport is relatively low, while the rate of second ACL injury has been reported to exceed 20% after clearance to return to sport, especially within younger athletic populations. Despite the development of return-to-sport guidelines over recent years, there are still more questions than answers on the most optimal return-to-sport criteria after ACLR. The primary purpose of this review was to provide a critical appraisal of the current return-to-sport criteria and decision-making processes after ACLR. Traditional return-to-sport criteria mainly focus on time after injury and impairments of the injured knee joint. The return-to-sport decision making is only made at the hypothetical 'end' of the rehabilitation. We propose an optimized criterion-based multifactorial return-to-sport approach based on shared decision making within a broad biopsychosocial framework. A wide spectrum of sensorimotor and biomechanical outcomes should be assessed comprehensively, while the interactions of an individual athlete with the tasks being performed and the environment in which the tasks are executed are taken into account. A layered approach within a smooth continuum with repeated athletic evaluations throughout rehabilitation followed by a gradual periodized reintegration into sport with adequate follow-up may help to guide an individual athlete toward a successful return to sport.

X Demographics

X Demographics

The data shown below were collected from the profiles of 565 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 630 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Unknown 628 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 138 22%
Student > Bachelor 80 13%
Other 52 8%
Student > Ph. D. Student 46 7%
Researcher 37 6%
Other 107 17%
Unknown 170 27%
Readers by discipline Count As %
Sports and Recreations 149 24%
Medicine and Dentistry 127 20%
Nursing and Health Professions 97 15%
Social Sciences 14 2%
Engineering 14 2%
Other 38 6%
Unknown 191 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 386. 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 03 October 2022.
All research outputs
#80,462
of 25,622,179 outputs
Outputs from Sports Medicine
#69
of 2,889 outputs
Outputs of similar age
#1,959
of 425,183 outputs
Outputs of similar age from Sports Medicine
#2
of 42 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.1. This one has done particularly well, scoring higher than 97% 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 425,183 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 99% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.