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Comparative analysis of distinct phenotypes in gambling disorder based on gambling preferences

Overview of attention for article published in BMC Psychiatry, April 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

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4 tweeters
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2 Facebook pages

Citations

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50 Dimensions

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82 Mendeley
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Title
Comparative analysis of distinct phenotypes in gambling disorder based on gambling preferences
Published in
BMC Psychiatry, April 2015
DOI 10.1186/s12888-015-0459-0
Pubmed ID
Authors

Laura Moragas, Roser Granero, Randy Stinchfield, Fernando Fernández-Aranda, Frida Fröberg, Neus Aymamí, Mónica Gómez-Peña, Ana B Fagundo, Mohammed A Islam, Amparo del Pino-Gutiérrez, Zaida Agüera, Lamprini G Savvidou, Jon Arcelus, Gemma L Witcomb, Sarah Sauchelli, José M Menchón, Susana Jiménez-Murcia

Abstract

Studies examining gambling preferences have identified the importance of the type of gambling practiced on distinct individual profiles. The objectives were to compare clinical, psychopathological and personality variables between two different groups of individuals with a gambling disorder (strategic and non-strategic gamblers) and to evaluate the statistical prediction capacity of these preferences with respect to the severity of the disorder. A total sample of 2010 treatment-seeking patients with a gambling disorder participated in this stand-alone study. All were recruited from a single Pathological Gambling Unit in Spain (1309 strategic and 301 non-strategic gamblers). The design of the study was cross-sectional and data were collected at the start of treatment. Data was analysed using logistic regression for binary outcomes and analysis of variance (ANOVA) for quantitative responses. There were significant differences in several socio-demographic and clinical variables, as well as in personality traits (novelty seeking and cooperativeness). Multiple regression analysis showed harm avoidance and self-directedness were the main predictors of gambling severity and psychopathology, while age at assessment and age of onset of gambling behaviour were predictive of gambling severity. Strategic gambling (as opposed to non-strategic) was significantly associated with clinical outcomes, but the effect size of the relationships was small. It is possible to identify distinct phenotypes depending on the preference of gambling. While these phenotypes differ in relation to the severity of the gambling disorder, psychopathology and personality traits, they can be useful from a clinical and therapeutic perspective in enabling risk factors to be identified and prevention programs targeting specific individual profiles to be developed.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Italy 1 1%
Canada 1 1%
Unknown 79 96%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 12 15%
Student > Bachelor 10 12%
Researcher 9 11%
Student > Master 8 10%
Student > Ph. D. Student 8 10%
Other 20 24%
Unknown 15 18%
Readers by discipline Count As %
Psychology 33 40%
Medicine and Dentistry 9 11%
Social Sciences 5 6%
Agricultural and Biological Sciences 2 2%
Sports and Recreations 2 2%
Other 10 12%
Unknown 21 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2017.
All research outputs
#8,185,715
of 14,535,828 outputs
Outputs from BMC Psychiatry
#2,014
of 3,293 outputs
Outputs of similar age
#99,819
of 229,155 outputs
Outputs of similar age from BMC Psychiatry
#1
of 1 outputs
Altmetric has tracked 14,535,828 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,293 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 36th percentile – i.e., 36% 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 229,155 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 54% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them