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Understanding the somatic consequences of depression: biological mechanisms and the role of depression symptom profile

Overview of attention for article published in BMC Medicine, May 2013
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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 (94th percentile)

Mentioned by

blogs
1 blog
twitter
20 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
283 Dimensions

Readers on

mendeley
435 Mendeley
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Title
Understanding the somatic consequences of depression: biological mechanisms and the role of depression symptom profile
Published in
BMC Medicine, May 2013
DOI 10.1186/1741-7015-11-129
Pubmed ID
Authors

Brenda WJH Penninx, Yuri Milaneschi, Femke Lamers, Nicole Vogelzangs

Abstract

Depression is the most common psychiatric disorder worldwide. The burden of disease for depression goes beyond functioning and quality of life and extends to somatic health. Depression has been shown to subsequently increase the risk of, for example, cardiovascular, stroke, diabetes and obesity morbidity. These somatic consequences could partly be due to metabolic, immuno-inflammatory, autonomic and hypothalamic-pituitary-adrenal (HPA)-axis dysregulations which have been suggested to be more often present among depressed patients. Evidence linking depression to metabolic syndrome abnormalities indicates that depression is especially associated with its obesity-related components (for example, abdominal obesity and dyslipidemia). In addition, systemic inflammation and hyperactivity of the HPA-axis have been consistently observed among depressed patients. Slightly less consistent observations are for autonomic dysregulation among depressed patients. The heterogeneity of the depression concept seems to play a differentiating role: metabolic syndrome and inflammation up-regulations appear more specific to the atypical depression subtype, whereas hypercortisolemia appears more specific for melancholic depression. This review finishes with potential treatment implications for the downward spiral in which different depressive symptom profiles and biological dysregulations may impact on each other and interact with somatic health decline.

Twitter Demographics

The data shown below were collected from the profiles of 20 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 435 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 <1%
United States 3 <1%
India 2 <1%
United Kingdom 2 <1%
Brazil 1 <1%
China 1 <1%
Portugal 1 <1%
Sweden 1 <1%
Netherlands 1 <1%
Other 0 0%
Unknown 420 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 91 21%
Student > Master 73 17%
Student > Ph. D. Student 70 16%
Researcher 44 10%
Unspecified 32 7%
Other 125 29%
Readers by discipline Count As %
Medicine and Dentistry 146 34%
Psychology 74 17%
Unspecified 65 15%
Agricultural and Biological Sciences 44 10%
Neuroscience 29 7%
Other 77 18%

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 27 August 2015.
All research outputs
#712,865
of 13,526,911 outputs
Outputs from BMC Medicine
#606
of 2,143 outputs
Outputs of similar age
#8,888
of 150,946 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 13,526,911 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,143 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.0. This one has gotten more attention than average, scoring higher than 71% 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 150,946 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 94% 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