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Understanding Self-Controlled Motor Learning Protocols through the Self-Determination Theory

Overview of attention for article published in Frontiers in Psychology, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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9 X users
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1 Facebook page

Citations

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166 Dimensions

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231 Mendeley
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Title
Understanding Self-Controlled Motor Learning Protocols through the Self-Determination Theory
Published in
Frontiers in Psychology, January 2013
DOI 10.3389/fpsyg.2012.00611
Pubmed ID
Authors

Elizabeth A. Sanli, Jae T. Patterson, Steven R. Bray, Timothy D. Lee

Abstract

The purpose of the present review was to provide a theoretical understanding of the learning advantages underlying a self-controlled practice context through the tenets of the self-determination theory (SDT). Three micro-theories within the macro-theory of SDT (Basic psychological needs theory, Cognitive Evaluation Theory, and Organismic Integration Theory) are used as a framework for examining the current self-controlled motor learning literature. A review of 26 peer-reviewed, empirical studies from the motor learning and medical training literature revealed an important limitation of the self-controlled research in motor learning: that the effects of motivation have been assumed rather than quantified. The SDT offers a basis from which to include measurements of motivation into explanations of changes in behavior. This review suggests that a self-controlled practice context can facilitate such factors as feelings of autonomy and competence of the learner, thereby supporting the psychological needs of the learner, leading to long term changes to behavior. Possible tools for the measurement of motivation and regulation in future studies are discussed. The SDT not only allows for a theoretical reinterpretation of the extant motor learning research supporting self-control as a learning variable, but also can help to better understand and measure the changes occurring between the practice environment and the observed behavioral outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 <1%
Germany 1 <1%
Netherlands 1 <1%
Italy 1 <1%
India 1 <1%
United Kingdom 1 <1%
Iran, Islamic Republic of 1 <1%
United States 1 <1%
Unknown 222 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 18%
Student > Master 35 15%
Student > Postgraduate 23 10%
Student > Bachelor 19 8%
Student > Doctoral Student 15 6%
Other 46 20%
Unknown 51 22%
Readers by discipline Count As %
Sports and Recreations 46 20%
Psychology 32 14%
Medicine and Dentistry 18 8%
Nursing and Health Professions 18 8%
Social Sciences 17 7%
Other 43 19%
Unknown 57 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 July 2022.
All research outputs
#5,381,598
of 25,997,855 outputs
Outputs from Frontiers in Psychology
#8,703
of 34,933 outputs
Outputs of similar age
#52,035
of 292,454 outputs
Outputs of similar age from Frontiers in Psychology
#339
of 967 outputs
Altmetric has tracked 25,997,855 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,933 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 done well, scoring higher than 75% 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 292,454 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 82% of its contemporaries.
We're also able to compare this research output to 967 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.