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Circadian Phenotype Composition is a Major Predictor of Diurnal Physical Performance in Teams

Overview of attention for article published in Frontiers in Neurology, October 2015
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
10 news outlets
blogs
1 blog
twitter
7 X users

Citations

dimensions_citation
19 Dimensions

Readers on

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52 Mendeley
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Title
Circadian Phenotype Composition is a Major Predictor of Diurnal Physical Performance in Teams
Published in
Frontiers in Neurology, October 2015
DOI 10.3389/fneur.2015.00208
Pubmed ID
Authors

Elise Facer-Childs, Roland Brandstaetter

Abstract

Team performance is a complex phenomenon involving numerous influencing factors including physiology, psychology, and management. Biological rhythms and the impact of circadian phenotype have not been studied for their contribution to this array of factors so far despite our knowledge of the circadian regulation of key physiological processes involved in physical and mental performance. This study involved 216 individuals from 12 different teams who were categorized into circadian phenotypes using the novel RBUB chronometric test. The composition of circadian phenotypes within each team was used to model predicted daily team performance profiles based on physical performance tests. Our results show that the composition of circadian phenotypes within teams is variable and unpredictable. Predicted physical peak performance ranged from 1:52 to 8:59 p.m. with performance levels fluctuating by up to 14.88% over the course of the day. The major predictor for peak performance time in the course of a day in a team is the occurrence of late circadian phenotypes. We conclude that circadian phenotype is a performance indicator in teams that allows new insight and a better understanding of team performance variation in the course of a day as often observed in different groupings of individuals.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Singapore 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Student > Ph. D. Student 8 15%
Student > Bachelor 5 10%
Lecturer 4 8%
Other 3 6%
Other 8 15%
Unknown 14 27%
Readers by discipline Count As %
Sports and Recreations 14 27%
Agricultural and Biological Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Medicine and Dentistry 3 6%
Social Sciences 3 6%
Other 9 17%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 95. 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 08 January 2019.
All research outputs
#373,954
of 22,828,180 outputs
Outputs from Frontiers in Neurology
#101
of 11,711 outputs
Outputs of similar age
#5,672
of 274,927 outputs
Outputs of similar age from Frontiers in Neurology
#2
of 63 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,711 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 99% 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 274,927 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 97% of its contemporaries.
We're also able to compare this research output to 63 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 96% of its contemporaries.