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A Tripartite Neurocognitive Model of Internet Gaming Disorder

Overview of attention for article published in Frontiers in Psychiatry, December 2017
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 blog
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11 X users
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1 Facebook page

Citations

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85 Dimensions

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185 Mendeley
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Title
A Tripartite Neurocognitive Model of Internet Gaming Disorder
Published in
Frontiers in Psychiatry, December 2017
DOI 10.3389/fpsyt.2017.00285
Pubmed ID
Authors

Lei Wei, Shuyue Zhang, Ofir Turel, Antoine Bechara, Qinghua He

Abstract

Playing Internet games has emerged as a growing in prevalence leisure activity. In some cases, excess gaming can lead to addiction-like symptoms and aversive outcomes that may be seen by some as manifestations of a behavioral addiction. Even though agreement regarding the pathologizing of excessive video gaming is not yet achieved and perhaps because the field requires more research, many works have examined the antecedents and outcomes of what is termed internet gaming disorder (IGD). In this article, we aim at summarizing perspectives and findings related to the neurocognitive processes that may underlie IGD and map such findings onto the triadic-system that governs behavior and decision-making, the deficits in which have been shown to be associated with many addictive disorders. This tripartite system model includes the following three brain systems: (1) the impulsive system, which often mediates fast, automatic, unconscious, and habitual behaviors; (2) the reflective system, which mediates deliberating, planning, predicting future outcomes of selected behaviors, and exerting inhibitory control; and (3) the interoceptive awareness system, which generates a state of craving through the translation of somatic signals into a subjective state of drive. We suggest that IGD formation and maintenance can be associated with (1) a hyperactive "impulsive" system; (2) a hypoactive "reflective" system, as exacerbated by (3) an interoceptive awareness system that potentiates the activity of the impulsive system, and/or hijacks the goal-driven cognitive resources needed for the normal operation of the reflective system. Based on this review, we propose ways to improve the therapy and treatment of IGD and reduce the risk of relapse among recovering IGD populations.

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X Demographics

The data shown below were collected from the profiles of 11 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 30 16%
Student > Ph. D. Student 27 15%
Student > Master 20 11%
Researcher 16 9%
Student > Postgraduate 12 6%
Other 27 15%
Unknown 53 29%
Readers by discipline Count As %
Psychology 62 34%
Medicine and Dentistry 20 11%
Neuroscience 11 6%
Nursing and Health Professions 5 3%
Computer Science 4 2%
Other 21 11%
Unknown 62 34%
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 10 January 2019.
All research outputs
#2,241,819
of 23,313,051 outputs
Outputs from Frontiers in Psychiatry
#1,203
of 10,425 outputs
Outputs of similar age
#52,570
of 440,918 outputs
Outputs of similar age from Frontiers in Psychiatry
#19
of 114 outputs
Altmetric has tracked 23,313,051 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 10,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 88% 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 440,918 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 88% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.