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Attention Score in Context
| Title |
Recommendations for applying a multi-dimensional model of impulsive personality to diagnosis and treatment
|
|---|---|
| Published in |
Borderline Personality Disorder and Emotion Dysregulation, April 2018
|
| DOI | 10.1186/s40479-018-0084-x |
| Pubmed ID | |
| Authors |
Miji Um, Alexandra R. Hershberger, Zachary T. Whitt, Melissa A. Cyders |
| Abstract |
The UPPS-P Model of Impulsive Personality, a prominent model of impulsive personality derived from the Five Factor Model of Personality, is a multi-dimensional model of impulsive personality that consists of negative urgency, lack of premeditation, lack of perseveration, sensation seeking, and positive urgency. The UPPS-P model has highlighted the importance of separating multidimensional traits due to the specificity of these traits corresponding to different risk behaviors. The goal of the current review paper is to make recommendations on how to apply the UPPS-P Model of Impulsive Personality, to diagnosis of and treatment for psychopathology. However, despite impulsivity being one of the most frequently used criteria for a number of clinical disorders, our review of the Diagnostic and Statistical Manual for Mental Disorders-5 found that the UPPS-P traits are not well represented in the diagnostic criteria, which we propose limits inferences about etiology and treatment targets. Additionally, research has largely focused on the importance of these traits for risk models; our review of the literature applying the UPPS-P traits to treatment processes and outcomes concluded that this area is not yet well studied. Here, we propose the specific application of the UPPS-P model to improve diagnosis and increase treatment effectiveness. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 14% |
| Student > Doctoral Student | 8 | 11% |
| Student > Master | 7 | 10% |
| Student > Postgraduate | 6 | 8% |
| Other | 5 | 7% |
| Other | 16 | 22% |
| Unknown | 20 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 34 | 47% |
| Neuroscience | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Social Sciences | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 25 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 12 May 2019.
All research outputs
#3,967,997
of 23,031,582 outputs
Outputs from Borderline Personality Disorder and Emotion Dysregulation
#69
of 192 outputs
Outputs of similar age
#78,221
of 328,940 outputs
Outputs of similar age from Borderline Personality Disorder and Emotion Dysregulation
#4
of 7 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 192 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 gotten more attention than average, scoring higher than 61% 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 328,940 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 76% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.