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Does player unavailability affect football teams’ match physical outputs? A two-season study of the UEFA champions league

Overview of attention for article published in Journal of Science and Medicine in Sport, August 2017
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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114 Mendeley
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Title
Does player unavailability affect football teams’ match physical outputs? A two-season study of the UEFA champions league
Published in
Journal of Science and Medicine in Sport, August 2017
DOI 10.1016/j.jsams.2017.08.007
Pubmed ID
Authors

Johann Windt, Jan Ekstrand, Karim M. Khan, Alan McCall, Bruno D. Zumbo

Abstract

Player unavailability negatively affects team performance in elite football. However, whether player unavailability and its concomitant performance decrement is mediated by any changes in teams' match physical outputs is unknown. We examined whether the number of players injured (i.e. unavailable for match selection) was associated with any changes in teams' physical outputs. Prospective cohort study. Between-team variation was calculated by correlating average team availability with average physical outputs. Within-team variation was quantified using linear mixed modelling, using physical outputs - total distance, sprint count (efforts over 20km/h), and percent of distance covered at high speeds (>14km/h) - as outcome variables, and player unavailability as the independent variable of interest. To control for other factors that may influence match physical outputs, stage (group stage/knockout), venue (home/away), score differential, ball possession (%), team ranking (UEFA Club Coefficient), and average team age were all included as covariates. Teams' average player unavailability was positively associated with the average number of sprints they performed in matches across two seasons. Multilevel models similarly demonstrated that having 4 unavailable players was associated with 20.8 more sprints during matches in 2015/2016, and with an estimated 0.60-0.77% increase in the proportion of total distance run above 14km/h in both seasons. Player unavailability had a possibly positive and likely positive association with total match distances in the two respective seasons. Having more players injured and unavailable for match selection was associated with an increase in teams' match physical outputs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 18%
Student > Ph. D. Student 14 12%
Researcher 11 10%
Student > Bachelor 10 9%
Student > Doctoral Student 6 5%
Other 18 16%
Unknown 35 31%
Readers by discipline Count As %
Sports and Recreations 36 32%
Medicine and Dentistry 15 13%
Nursing and Health Professions 11 10%
Decision Sciences 4 4%
Social Sciences 3 3%
Other 6 5%
Unknown 39 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 19 July 2023.
All research outputs
#2,286,721
of 25,382,440 outputs
Outputs from Journal of Science and Medicine in Sport
#645
of 2,874 outputs
Outputs of similar age
#42,516
of 324,941 outputs
Outputs of similar age from Journal of Science and Medicine in Sport
#16
of 72 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,874 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 77% 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 324,941 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 86% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.