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Agreement between test procedures for the single-leg hop for distance and the single-leg mini squat as measures of lower extremity function

Overview of attention for article published in BMC Sports Science, Medicine and Rehabilitation, August 2018
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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 (83rd percentile)

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16 tweeters
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Title
Agreement between test procedures for the single-leg hop for distance and the single-leg mini squat as measures of lower extremity function
Published in
BMC Sports Science, Medicine and Rehabilitation, August 2018
DOI 10.1186/s13102-018-0104-6
Pubmed ID
Authors

Eva Ageberg, Anna Cronström

Abstract

Different test procedures are often used within performance-based measures, causing uncertainty as to whether results can be compared between studies. Thus, the aim of this study was to assess agreement between different test procedures for the single-leg hop for distance (SLHD) and the single-leg mini squat (SLMS), respectively, two commonly used tasks for assessing deficiency in lower extremity muscle function. Twenty-three participants (20-42 years) with lower extremity injury performed the SLHD with arms free and with arms behind back, and the Limb Symmetry Index (LSI; injured leg divided by uninjured and multiplied by 100) was calculated. Another group of 28 participants (mean 18-38 years) performed five SLMSs at a pre-defined speed and maximum number of SLMSs during 30 seconds, and were visually observed and scored as either having a knee-over-foot or a knee-medial-to-foot position (KMFP). No systematic difference between test procedures for the LSI of the SLHD was noted (p=0.736), Cohen's kappa = 0.42. The Bland & Altman plot showed wide limits of agreement between test procedures, with particularly poor agreement for participants with abnormal LSI (<90%). Ten participants were scored as having a KMFP during five SLMSs at a predefined speed, while five had a KMFP during maximum number of SLMSs during 30 seconds (p=0.063, Cohen's kappa = 0.56). The moderate agreement between the two test procedures for the SLHD and the SLMS, respectively, indicate that results from these different test procedures should not be compared across studies. SLHD with arms behind back, and five SLMSs at a pre-defined speed, respectively, were the most sensitive procedures to detect individuals with poor functional performance.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 31%
Student > Bachelor 6 17%
Student > Ph. D. Student 5 14%
Student > Postgraduate 3 9%
Other 2 6%
Other 4 11%
Unknown 4 11%
Readers by discipline Count As %
Sports and Recreations 9 26%
Nursing and Health Professions 8 23%
Medicine and Dentistry 8 23%
Economics, Econometrics and Finance 1 3%
Psychology 1 3%
Other 3 9%
Unknown 5 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 16 October 2018.
All research outputs
#1,683,188
of 15,606,535 outputs
Outputs from BMC Sports Science, Medicine and Rehabilitation
#61
of 227 outputs
Outputs of similar age
#46,801
of 277,070 outputs
Outputs of similar age from BMC Sports Science, Medicine and Rehabilitation
#1
of 1 outputs
Altmetric has tracked 15,606,535 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 227 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has gotten more attention than average, scoring higher than 73% 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 277,070 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 83% 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