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Evidence for Sequential Performance Effects in Professional Darts

Overview of attention for article published in Frontiers in Psychology, April 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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Evidence for Sequential Performance Effects in Professional Darts
Published in
Frontiers in Psychology, April 2018
DOI 10.3389/fpsyg.2018.00591
Pubmed ID
Authors

John F. Stins, Gur Yaari, Kevin Wijmer, Joost F. Burger, Peter J. Beek

Abstract

Objectives: The study of sequential effects in aiming tasks might shed light on the organization of repetitive motor performances over time. To date, investigations of such effects in sports have been limited and yielded mixed results. Given the relatively short time intervals between successive attempts, and the absence of defensive interventions, dart throwing provides a potentially fruitful testing ground for examining the presence of sequential performance effects in the motor domain. Methods and Results: A total of 80 competitive darts matches of 10 of the world's best players were scored from publicly available video footage in terms of sequences of hits and misses of triple 20. In darts, throws are organized in legs, i.e., a rapid succession of three throws by the same player, allowing us to investigate various transitions in performance (throw 1 → 2, 2 → 3, and 3 → 1). The resulting binary sequences were analyzed statistically in terms of independence and stationarity. Across players significant statistical evidence was found for sequential dependence from the first throw in a leg to the second throw, but not for the other transitions. As regards to stationarity, a significant decline in performance was observed in the course of the match. Conclusions: In professional darts, evidence can be found for both sequential dependence as well as for non-stationarity, implying that performance does not, or at least not always, constitute a stationary random independent process. More research is needed on the motor control mechanisms underlying the observed carry-over effects within triplets as well as the possible causes of non-stationarity.

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The data shown below were collected from the profiles of 19 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 20%
Student > Ph. D. Student 4 16%
Student > Master 3 12%
Professor > Associate Professor 3 12%
Professor 2 8%
Other 2 8%
Unknown 6 24%
Readers by discipline Count As %
Sports and Recreations 9 36%
Psychology 6 24%
Neuroscience 2 8%
Nursing and Health Professions 1 4%
Physics and Astronomy 1 4%
Other 1 4%
Unknown 5 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 28 December 2020.
All research outputs
#2,208,524
of 23,041,514 outputs
Outputs from Frontiers in Psychology
#4,319
of 30,339 outputs
Outputs of similar age
#49,029
of 326,639 outputs
Outputs of similar age from Frontiers in Psychology
#144
of 612 outputs
Altmetric has tracked 23,041,514 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 30,339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 85% 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 326,639 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 84% of its contemporaries.
We're also able to compare this research output to 612 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.