↓ Skip to main content

Dove Medical Press

Article Metrics

The influence of comorbid personality disorders on recovery from depression

Overview of attention for article published in Neuropsychiatric Disease and Treatment, March 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
33 Mendeley
Title
The influence of comorbid personality disorders on recovery from depression
Published in
Neuropsychiatric Disease and Treatment, March 2015
DOI 10.2147/ndt.s80636
Pubmed ID
Authors

Tinakon Wongpakaran, Nahathai Wongpakaran, Vudhichai Boonyanaruthee, Manee Pinyopornpanish, Suthi Intaprasert

Abstract

The impact of personality disorders on the treatment of and recovery from depression is still a controversial topic. The aim of this paper is to provide more information on what has led to this disagreement. Clinician-rated Hamilton Depression Rating Scale (HAMD) scores were assessed among 82 depressed outpatients who were receiving a routine treatment combination of antidepressant medication and psychosocial intervention. The participants were followed up over five visits at 3-month intervals: at the baseline, at 3, 6, 9 and 12 months. Personality disorders were assessed after the last visit in accordance with Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision. These repeated measures were used to explore the impact of personality disorders on HAMD scores by using a linear mixed model. Among the four personality clusters that were used (A, B, C, and mixed), only those in cluster B and in the mixed cluster were found to take significantly longer than those without personality disorders, for reduction in HAMD scores over the course of treatment. In this study, the impact of personality disorders on treatment outcomes varied with the way that the personality disorder variables were described and used as independent predictors. This is because the outcomes were influenced by the impact weight of each personality disorder, even within the same cluster.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 27%
Student > Bachelor 6 18%
Student > Doctoral Student 2 6%
Professor 2 6%
Researcher 2 6%
Other 6 18%
Unknown 6 18%
Readers by discipline Count As %
Psychology 21 64%
Medicine and Dentistry 4 12%
Computer Science 1 3%
Arts and Humanities 1 3%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 4 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 September 2015.
All research outputs
#12,334,991
of 22,075,848 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,110
of 2,921 outputs
Outputs of similar age
#106,023
of 241,551 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#4
of 6 outputs
Altmetric has tracked 22,075,848 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,921 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 241,551 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 55% 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 2 of them.