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A phase-specific neuroimmune model of clinical depression

Overview of attention for article published in Progress in Neuro-Psychopharmacology & Biological Psychiatry, July 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
3 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
90 Mendeley
citeulike
1 CiteULike
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Title
A phase-specific neuroimmune model of clinical depression
Published in
Progress in Neuro-Psychopharmacology & Biological Psychiatry, July 2014
DOI 10.1016/j.pnpbp.2014.06.011
Pubmed ID
Authors

H.A. Eyre, M.J. Stuart, B.T. Baune

Abstract

Immune dysfunction and pro-inflammatory states in particular have been implicated in the aetiology and pathogenesis of depression. Whilst the onset of an episode and certain symptoms of depression appear well explained by this inflammatory model, the underpinnings of the episodic and progressive nature, as well as relapse and remission status in depression require attention. In this review it is suggested that additional immune factors beyond pro- and anti-inflammatory cytokines may effectively contribute to the understanding of the neurobiology of clinical depression. Considering neurobiological effects of immunomodulatory factors such as T cells, macrophages, microglia and astrocytes relevant to depression, we suggest a neuroimmune model of depression underpinned by dynamic immunomodulatory processes. This perspective paper then outlines a neuroimmune model of clinical phases of depression in an attempt to more adequately explain depression-like behaviours in pre-clinical models and the dynamic nature of depression in clinical populations. Finally, the implications for immunomodulatory treatments of depression are considered.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
United States 1 1%
Brazil 1 1%
Unknown 86 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 20%
Student > Ph. D. Student 17 19%
Student > Master 14 16%
Student > Bachelor 7 8%
Professor > Associate Professor 5 6%
Other 14 16%
Unknown 15 17%
Readers by discipline Count As %
Medicine and Dentistry 23 26%
Psychology 13 14%
Agricultural and Biological Sciences 13 14%
Neuroscience 9 10%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 8 9%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 28 January 2021.
All research outputs
#985,878
of 26,017,215 outputs
Outputs from Progress in Neuro-Psychopharmacology & Biological Psychiatry
#66
of 2,762 outputs
Outputs of similar age
#9,342
of 246,198 outputs
Outputs of similar age from Progress in Neuro-Psychopharmacology & Biological Psychiatry
#1
of 19 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 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,762 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 97% 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 246,198 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 96% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.