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Personality in DSM–5: Helping Delineate Personality Disorder Content and Framing the Metastructure

Overview of attention for article published in Journal of Personality Assessment, July 2011
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Article details
Title
Personality in DSM–5: Helping Delineate Personality Disorder Content and Framing the Metastructure
Published in
Journal of Personality Assessment, July 2011
DOI 10.1080/00223891.2011.577478
Pubmed ID
Authors
Abstract

The transition from the Diagnostic and Statistical Model of Mental Disorders (4th ed., text revision [DSM-IV-TR]; American Psychiatric Association, 2000 ) to the fifth edition (DSM-5) represents an unprecedented opportunity to integrate dimensional personality trait models into the official nosology. Not surprisingly, a variety of issues have arisen in contemplating this challenging integration. In this article, we address how a dimensional personality trait model could be a helpful component of DSM-5, from the perspective of our roles as work group members and advisors involved in the creation of a trait model and corresponding assessment instrument. We focus in particular on two potential roles for a trait model in DSM-5 that are under official consideration. First, a dimensional personality trait model might be helpful in delineating the content of personality disorders. Second, a trait model might assist in organizing the "metastructure" of DSM-5 (i.e., the arrangement of chapters and other broader classificatory rubrics).

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 5 4%
Netherlands 1 <1%
Israel 1 <1%
Denmark 1 <1%
Canada 1 <1%
Australia 1 <1%
Unknown 123 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 23%
Student > Master 27 20%
Researcher 11 8%
Student > Bachelor 10 8%
Student > Doctoral Student 9 7%
Other 21 16%
Unknown 25 19%
Readers by discipline
Readers by discipline Count As %
Psychology 80 60%
Medicine and Dentistry 8 6%
Social Sciences 6 5%
Business, Management and Accounting 2 2%
Neuroscience 2 2%
Other 5 4%
Unknown 30 23%
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 06 June 2012.
All research outputs
#20,159,700
of 22,668,244 outputs
Outputs from Journal of Personality Assessment
#685
of 758 outputs
Outputs of similar age
#107,019
of 115,702 outputs
Outputs of similar age from Journal of Personality Assessment
#9
of 9 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 758 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 1st percentile – i.e., 1% 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 115,702 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.