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Major depressive disorder as a nonlinear dynamic system: bimodality in the frequency distribution of depressive symptoms over time

Overview of attention for article published in BMC Psychiatry, September 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

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5 tweeters
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2 Facebook pages

Citations

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29 Dimensions

Readers on

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87 Mendeley
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1 CiteULike
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Title
Major depressive disorder as a nonlinear dynamic system: bimodality in the frequency distribution of depressive symptoms over time
Published in
BMC Psychiatry, September 2015
DOI 10.1186/s12888-015-0596-5
Pubmed ID
Authors

Bettina Hosenfeld, Elisabeth H. Bos, Klaas J. Wardenaar, Henk Jan Conradi, Han L. J. van der Maas, Ingmar Visser, Peter de Jonge

Abstract

A defining characteristic of Major Depressive Disorder (MDD) is its episodic course, which might indicate that MDD is a nonlinear dynamic phenomenon with two discrete states. We investigated this hypothesis using the symptom time series of individual patients. In 178 primary care patients with MDD, the presence of the nine DSM-IV symptoms of depression was recorded weekly for two years. For each patient, the time-series plots as well as the frequency distributions of the symptoms over 104 weeks were inspected. Furthermore, two indicators of bimodality were obtained: the bimodality coefficient (BC) and the fit of a 1- and a 2-state Hidden Markov Model (HMM). In 66 % of the sample, high bimodality coefficients (BC > .55) were found. These corresponded to relatively sudden jumps in the symptom curves and to highly skewed or bimodal frequency distributions. The results of the HMM analyses classified 90 % of the symptom distributions as bimodal. A two-state pattern can be used to describe the course of depression symptoms in many patients. The BC seems useful in differentiating between subgroups of MDD patients based on their life course data.

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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Thailand 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Student > Master 13 15%
Researcher 9 10%
Student > Bachelor 8 9%
Student > Doctoral Student 5 6%
Other 16 18%
Unknown 18 21%
Readers by discipline Count As %
Psychology 21 24%
Medicine and Dentistry 15 17%
Neuroscience 5 6%
Social Sciences 4 5%
Agricultural and Biological Sciences 3 3%
Other 11 13%
Unknown 28 32%

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 30 March 2016.
All research outputs
#7,374,473
of 14,535,828 outputs
Outputs from BMC Psychiatry
#1,729
of 3,293 outputs
Outputs of similar age
#87,166
of 248,337 outputs
Outputs of similar age from BMC Psychiatry
#1
of 1 outputs
Altmetric has tracked 14,535,828 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,293 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 46th percentile – i.e., 46% 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 248,337 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 64% of its contemporaries.
We're also able to compare this research output to 1 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