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Are the Effects of Response Inhibition on Gambling Long-Lasting?

Overview of attention for article published in PLOS ONE, July 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)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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12 X users

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83 Mendeley
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Title
Are the Effects of Response Inhibition on Gambling Long-Lasting?
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0070155
Pubmed ID
Authors

Frederick Verbruggen, Rachel C. Adams, Felice van ‘t Wout, Tobias Stevens, Ian P. L. McLaren, Christopher D. Chambers

Abstract

A recent study has shown that short-term training in response inhibition can make people more cautious for up to two hours when making decisions. However, the longevity of such training effects is unclear. In this study we tested whether training in the stop-signal paradigm reduces risky gambling when the training and gambling task are separated by 24 hours. Two independent experiments revealed that the aftereffects of stop-signal training are negligible after 24 hours. This was supported by Bayes factors that provided strong support for the null hypothesis. These findings indicate the need to better optimise the parameters of inhibition training to achieve clinical efficacy, potentially by strengthening automatic associations between specific stimuli and stopping.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 27%
Researcher 15 18%
Student > Master 12 14%
Student > Bachelor 11 13%
Student > Doctoral Student 3 4%
Other 12 14%
Unknown 8 10%
Readers by discipline Count As %
Psychology 44 53%
Neuroscience 9 11%
Medicine and Dentistry 5 6%
Agricultural and Biological Sciences 3 4%
Social Sciences 3 4%
Other 7 8%
Unknown 12 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 14 March 2018.
All research outputs
#4,366,849
of 24,456,171 outputs
Outputs from PLOS ONE
#71,449
of 211,110 outputs
Outputs of similar age
#35,820
of 203,011 outputs
Outputs of similar age from PLOS ONE
#1,198
of 4,891 outputs
Altmetric has tracked 24,456,171 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 211,110 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 66% 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 203,011 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 4,891 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.