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Moods in Clinical Depression Are More Unstable than Severe Normal Sadness

Overview of attention for article published in Frontiers in Psychiatry, April 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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1 news outlet
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6 X users
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2 Wikipedia pages

Citations

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16 Dimensions

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41 Mendeley
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Title
Moods in Clinical Depression Are More Unstable than Severe Normal Sadness
Published in
Frontiers in Psychiatry, April 2017
DOI 10.3389/fpsyt.2017.00056
Pubmed ID
Authors

Rudy Bowen, Evyn Peters, Steven Marwaha, Marilyn Baetz, Lloyd Balbuena

Abstract

Current descriptions in psychiatry and psychology suggest that depressed mood in clinical depression is similar to mild sadness experienced in everyday life, but more intense and persistent. We evaluated this concept using measures of average mood and mood instability (MI). We prospectively measured low and high moods using separate visual analog scales twice a day for seven consecutive days in 137 participants from four published studies. Participants were divided into a non-depressed group with a Beck Depression Inventory score of ≤10 (n = 59) and a depressed group with a Beck Depression Inventory score of ≥18 (n = 78). MI was determined by the mean square successive difference statistic. Mean low and high moods were not correlated in the non-depressed group but were strongly positively correlated in the depressed group. This difference between correlations was significant. Low MI and high MI were weakly positively correlated in the non-depressed group and strongly positively correlated in the depressed group. This difference in correlations was also significant. The results show that low and high moods, and low and high MI, are highly correlated in people with depression compared with those who are not depressed. Current psychiatric practice does not assess or treat MI or brief high mood episodes in patients with depression. New models of mood that also focus on MI will need to be developed to address the pattern of mood disturbance in people with depression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Researcher 4 10%
Student > Master 4 10%
Student > Bachelor 3 7%
Other 2 5%
Other 5 12%
Unknown 15 37%
Readers by discipline Count As %
Psychology 16 39%
Medicine and Dentistry 2 5%
Neuroscience 2 5%
Nursing and Health Professions 1 2%
Computer Science 1 2%
Other 5 12%
Unknown 14 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 09 January 2024.
All research outputs
#2,250,986
of 26,017,215 outputs
Outputs from Frontiers in Psychiatry
#1,358
of 12,874 outputs
Outputs of similar age
#41,421
of 328,512 outputs
Outputs of similar age from Frontiers in Psychiatry
#14
of 55 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,874 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 89% 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 328,512 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 55 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 74% of its contemporaries.