↓ Skip to main content

Predominant polarity in bipolar disorder and validation of the polarity index in a German sample

Overview of attention for article published in BMC Psychiatry, November 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
4 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
67 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Predominant polarity in bipolar disorder and validation of the polarity index in a German sample
Published in
BMC Psychiatry, November 2014
DOI 10.1186/s12888-014-0322-8
Pubmed ID
Authors

Julia Volkert, Kathrin C Zierhut, Miriam A Schiele, Martina Wenzel, Juliane Kopf, Sarah Kittel-Schneider, Andreas Reif

Abstract

BackgroundA large number of patients with bipolar disorder (BD) can be characterized by predominant polarity (PP), which has important implications for relapse prevention. Recently, Popovic et al. (EUR NEUROPSYCHOPHARM 22(5): 339¿346, 2012) proposed the Polarity Index (PI) as a helpful tool in the maintenance treatment of BD. As a numeric expression, it reflects the efficacy of drugs used in treatment of BD. In the present retrospective study, we aimed to validate this Index in a large and well characterized German bipolar sample.MethodsWe investigated 336 bipolar patients (BP) according to their PP and calculated the PI for each patient in order to prove if maintenance treatment differs according to their PP. Furthermore, we analysed whether PP is associated with demographic and clinical characteristics of BP.ResultsIn our sample, 63.9% of patients fulfilled criteria of PP: 169 patients were classified as depressive predominant polarity (DPP), 46 patients as manic predominant polarity (MPP). The two groups differed significantly in their drug regime: Patients with DPP were more often medicated with lamotrigine and antidepressants, patients with MPP were more often treated with lithium, valproate, carbamazepine and first generation antipsychotics. However, patients with DPP and MPP did not differ significantly with respect to the PI, although they received evidence-based and guideline-driven treatment.ConclusionThe reason for this negative finding might well be that for several drugs, which were used frequently, no PI value is available. Nevertheless we suggest PP as an important concept in the planning of BD maintenance treatment.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 15%
Student > Ph. D. Student 8 12%
Student > Doctoral Student 7 10%
Student > Master 7 10%
Student > Bachelor 6 9%
Other 15 22%
Unknown 14 21%
Readers by discipline Count As %
Medicine and Dentistry 23 34%
Psychology 10 15%
Neuroscience 4 6%
Social Sciences 3 4%
Nursing and Health Professions 2 3%
Other 7 10%
Unknown 18 27%

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 07 October 2015.
All research outputs
#13,416,718
of 22,771,140 outputs
Outputs from BMC Psychiatry
#2,805
of 4,678 outputs
Outputs of similar age
#178,004
of 361,557 outputs
Outputs of similar age from BMC Psychiatry
#47
of 100 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 38th percentile – i.e., 38% 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 361,557 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.