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An Exploration of How Simulated Gambling Games May Promote Gambling with Money

Overview of attention for article published in Journal of Gambling Studies, January 2018
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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15 X users

Citations

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35 Dimensions

Readers on

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105 Mendeley
Title
An Exploration of How Simulated Gambling Games May Promote Gambling with Money
Published in
Journal of Gambling Studies, January 2018
DOI 10.1007/s10899-018-9742-6
Pubmed ID
Authors

Tess Armstrong, Matthew Rockloff, Matthew Browne, En Li

Abstract

Portable media devices, such as smartphones, have allowed gambling related content to infiltrate into a new market of potential consumers. Simulated gambling products are now readily available through multiple online platforms, and are becoming a popular form of entertainment for many young media users. Despite widespread use of these products, very little is known about how continued exposure to and involvement with simulated gambling may impact on real-money gambling attitudes and behaviours, particularly for young consumers. This paper reviews the literature exploring simulated gambling products and how consumption may promote monetary gambling, as well as fostering pro-gambling attitudes among youth and adolescents. Findings suggest that youth are highly exposed to simulated gambling games, and those who engage with these products are also more likely to be prone to monetary gambling and gambling problems. Virtual currency, in-game events and gambling themed content are also likely to promote biases about gambling or desensitise consumers to monetary losses. Simulated gambling products may therefore pose a risk to consumers, and particularly young consumers, rather than serve as a benign substitute for monetary gambling. To date, research has largely focused on correlational relationships between simulated and monetary gambling using cross-sectional methodologies. Future research should focus on determining the causal pathway between simulated gambling involvement and monetary gambling in order to identify and manage any risk associated simulated gambling participation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 15%
Student > Ph. D. Student 12 11%
Student > Master 9 9%
Researcher 7 7%
Student > Doctoral Student 6 6%
Other 10 10%
Unknown 45 43%
Readers by discipline Count As %
Psychology 16 15%
Medicine and Dentistry 7 7%
Social Sciences 7 7%
Nursing and Health Professions 5 5%
Computer Science 5 5%
Other 15 14%
Unknown 50 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 30 July 2019.
All research outputs
#3,217,592
of 25,382,440 outputs
Outputs from Journal of Gambling Studies
#167
of 990 outputs
Outputs of similar age
#69,152
of 451,175 outputs
Outputs of similar age from Journal of Gambling Studies
#7
of 20 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 990 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 83% 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 451,175 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 20 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 65% of its contemporaries.