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A Gamblers Clustering Based on Their Favorite Gambling Activity

Overview of attention for article published in Journal of Gambling Studies, September 2014
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Title
A Gamblers Clustering Based on Their Favorite Gambling Activity
Published in
Journal of Gambling Studies, September 2014
DOI 10.1007/s10899-014-9496-8
Pubmed ID
Authors

Gaëlle Challet-Bouju, Jean-Benoit Hardouin, Noëlle Renard, Cindy Legauffre, Marc Valleur, David Magalon, Mélina Fatséas, Isabelle Chéreau-Boudet, Mohamed-Ali Gorsane, JEU Group, Jean-Luc Vénisse, Marie Grall-Bronnec

Abstract

The objective of this study was to identify profiles of gamblers to explain the choice of preferred gambling activity among both problem and non-problem gamblers. 628 non-problem and problem gamblers were assessed with a structured interview including "healthy" (sociodemographic characteristics, gambling habits and personality profile assessed with the Temperament and Character Inventory-125) and "pathological" [diagnosis of pathological gambling, gambling-related cognitions (GRCs) and psychiatric comorbidity] variables. We performed a two-step cluster analysis based solely on "healthy" variables to identify gamblers' profiles which typically reflect the choice of preferred gambling activity. The obtained classes were then described using both "healthy" and "pathological" variables, by comparing each class to the rest of the sample. Clusters were generated. Class 1 (Electronic Gaming Machines gamblers) showed high cooperativeness, a lower level of GRC about strategy and more depressive disorders. Class 2 (games with deferred results gamblers) were high novelty seekers and showed a higher level of GRC about strategy and more addictive disorders. Class 3 (roulette gamblers) were more often high rollers and showed a higher level of GRC about strategy and more manic or hypomanic episodes and more obsessive-compulsive disorders. Class 4 (instant lottery gamblers) showed a lower tendency to suicide attempts. Class 5 (scratch cards gamblers) were high harm avoiders and showed a lower overall level of GRC and more panic attacks and eating disorders. The preference for one particular gambling activity may concern different profiles of gamblers. This study highlights the importance of considering the pair gambler-game rather than one or the other separately, and may provide support for future research on gambling and preventive actions directed toward a particular game.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Japan 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 14%
Researcher 14 12%
Student > Master 12 10%
Student > Bachelor 11 9%
Student > Doctoral Student 9 8%
Other 27 23%
Unknown 29 24%
Readers by discipline Count As %
Psychology 46 39%
Medicine and Dentistry 15 13%
Social Sciences 6 5%
Nursing and Health Professions 5 4%
Agricultural and Biological Sciences 2 2%
Other 6 5%
Unknown 39 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 September 2014.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Journal of Gambling Studies
#692
of 989 outputs
Outputs of similar age
#149,678
of 250,094 outputs
Outputs of similar age from Journal of Gambling Studies
#9
of 13 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 989 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 250,094 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.