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Integrating attentional control theory and the strength model of self-control

Overview of attention for article published in Frontiers in Psychology, June 2015
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Citations

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52 Dimensions

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112 Mendeley
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Title
Integrating attentional control theory and the strength model of self-control
Published in
Frontiers in Psychology, June 2015
DOI 10.3389/fpsyg.2015.00824
Pubmed ID
Authors

Chris Englert, Alex Bertrams

Abstract

In the present article, we argue that it may be fruitful to incorporate the ideas of the strength model of self-control into the core assumptions of the well-established attentional control theory (ACT). In ACT, it is assumed that anxiety automatically leads to attention disruption and increased distractibility, which may impair subsequent cognitive or perceptual-motor performance, but only if individuals do not have the ability to counteract this attention disruption. However, ACT does not clarify which process determines whether one can volitionally regulate attention despite experiencing high levels of anxiety. In terms of the strength model of self-control, attention regulation can be viewed as a self-control act depending on the momentary availability of self-control strength. We review literature that has revealed that self-control strength moderates the anxiety-performance relationship, discuss how to integrate these two theoretical models, and offer practical recommendations of how to counteract negative anxiety effects.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 <1%
Unknown 109 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 21%
Student > Ph. D. Student 18 16%
Student > Bachelor 13 12%
Researcher 11 10%
Student > Postgraduate 6 5%
Other 12 11%
Unknown 29 26%
Readers by discipline Count As %
Psychology 43 38%
Medicine and Dentistry 8 7%
Sports and Recreations 8 7%
Neuroscience 5 4%
Engineering 3 3%
Other 13 12%
Unknown 32 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 May 2015.
All research outputs
#8,952,579
of 26,555,952 outputs
Outputs from Frontiers in Psychology
#12,766
of 35,499 outputs
Outputs of similar age
#91,777
of 264,642 outputs
Outputs of similar age from Frontiers in Psychology
#245
of 521 outputs
Altmetric has tracked 26,555,952 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 35,499 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 63% 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 264,642 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 521 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 52% of its contemporaries.