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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Greece | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 104 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 14 | 13% |
| Student > Bachelor | 13 | 12% |
| Researcher | 11 | 10% |
| Student > Master | 10 | 9% |
| Student > Ph. D. Student | 8 | 8% |
| Other | 23 | 22% |
| Unknown | 27 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 40 | 38% |
| Medicine and Dentistry | 11 | 10% |
| Social Sciences | 6 | 6% |
| Nursing and Health Professions | 2 | 2% |
| Sports and Recreations | 2 | 2% |
| Other | 9 | 8% |
| Unknown | 36 | 34% |
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
#13,939,932
of 22,799,071 outputs
Outputs from BMC Psychiatry
#2,927
of 4,683 outputs
Outputs of similar age
#134,289
of 264,077 outputs
Outputs of similar age from BMC Psychiatry
#50
of 89 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,683 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 35th percentile – i.e., 35% 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 264,077 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.