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Subtypes of borderline personality disorder patients: a cluster-analytic approach

Overview of attention for article published in Borderline Personality Disorder and Emotion Dysregulation, July 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 206)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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1 news outlet
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19 X users
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1 Facebook page
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2 Redditors

Citations

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35 Dimensions

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148 Mendeley
Title
Subtypes of borderline personality disorder patients: a cluster-analytic approach
Published in
Borderline Personality Disorder and Emotion Dysregulation, July 2017
DOI 10.1186/s40479-017-0066-4
Pubmed ID
Authors

Maaike L. Smits, Dine J. Feenstra, Dawn L. Bales, Jasmijn de Vos, Zwaan Lucas, Roel Verheul, Patrick Luyten

Abstract

The borderline personality disorder (BPD) population is notably heterogeneous, and this has potentially important implications for intervention. Identifying distinct subtypes of patients may represent a first step in identifying which treatments work best for which individuals. A cluster-analysis on dimensional personality disorder (PD) features, as assessed with the SCID-II, was performed on a sample of carefully screened BPD patients (N = 187) referred for mentalization-based treatment. The optimal cluster solution was determined using multiple indices of fit. The validity of the clusters was explored by investigating their relationship with borderline pathology, symptom severity, interpersonal problems, quality of life, personality functioning, attachment, and trauma history, in addition to demographic and clinical features. A three-cluster solution was retained, which identified three clusters of BPD patients with distinct profiles. The largest cluster (n = 145) consisted of patients characterized by "core BPD" features, without marked elevations on other PD dimensions. A second "Extravert/externalizing" cluster of patients (n = 27) was characterized by high levels of histrionic, narcissistic, and antisocial features. A third, smaller "Schizotypal/paranoid" cluster (n = 15) consisted of patients with marked schizotypal and paranoid features. Patients in these clusters showed theoretically meaningful differences in terms of demographic and clinical features. Three meaningful subtypes of BPD patients were identified with distinct profiles. Differences were small, even when controlling for severity of PD pathology, suggesting a strong common factor underlying BPD. These results may represent a stepping stone toward research with larger samples aimed at replicating the findings and investigating differential trajectories of change, treatment outcomes, and treatment approaches for these subtypes. The study was retrospectively registered 16 April 2010 in the Nederlands Trial Register, no. NTR2292.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 148 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 12%
Student > Ph. D. Student 15 10%
Researcher 12 8%
Student > Doctoral Student 12 8%
Other 9 6%
Other 26 18%
Unknown 56 38%
Readers by discipline Count As %
Psychology 52 35%
Medicine and Dentistry 12 8%
Unspecified 8 5%
Social Sciences 5 3%
Arts and Humanities 3 2%
Other 10 7%
Unknown 58 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 30 August 2023.
All research outputs
#1,546,400
of 24,355,571 outputs
Outputs from Borderline Personality Disorder and Emotion Dysregulation
#24
of 206 outputs
Outputs of similar age
#30,632
of 317,505 outputs
Outputs of similar age from Borderline Personality Disorder and Emotion Dysregulation
#1
of 6 outputs
Altmetric has tracked 24,355,571 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 206 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 88% 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 317,505 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 6 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