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Inflammation in Depression and the Potential for Anti-Inflammatory Treatment

Overview of attention for article published in Current Neuropharmacology, August 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 599)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
3 news outlets
twitter
20 tweeters
wikipedia
1 Wikipedia page
video
2 video uploaders

Citations

dimensions_citation
118 Dimensions

Readers on

mendeley
236 Mendeley
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Title
Inflammation in Depression and the Potential for Anti-Inflammatory Treatment
Published in
Current Neuropharmacology, August 2016
DOI 10.2174/1570159x14666151208113700
Pubmed ID
Authors

Ole Kohler, Jesper Krogh, Ole Mors, Michael Eriksen Benros

Abstract

Accumulating evidence supports an association between depression and inflammatory processes, a connection that seems to be bidirectional. Clinical trials have indicated antidepressant treatment effects for anti-inflammatory agents, both as add-on treatment and as monotherapy. In particular, nonsteroidal anti-inflammatory drugs (NSAIDs) and cytokine-inhibitors have shown antidepressant treatment effects compared to placebo, but also statins, poly-unsaturated fatty acids, pioglitazone, minocycline, modafinil, and corticosteroids may yield antidepressant treatment effects. However, the complexity of the inflammatory cascade, limited clinical evidence, and the risk for side effects stress cautiousness before clinical application. Thus, despite proof-of-concept studies of anti-inflammatory treatment effects in depression, important challenges remain to be investigated. Within this paper, we review the association between inflammation and depression together with the current evidence on use of anti-inflammatory treatment in depression. Based on this, we address the questions and challenges that seem most important and relevant to future studies, such as timing, most effective treatment lengths and identification of subgroups of patients potentially responding better to different anti-inflammatory treatment regimens.

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

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Hungary 1 <1%
Brazil 1 <1%
Unknown 232 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 55 23%
Student > Master 38 16%
Researcher 34 14%
Student > Ph. D. Student 26 11%
Student > Doctoral Student 13 6%
Other 37 16%
Unknown 33 14%
Readers by discipline Count As %
Medicine and Dentistry 60 25%
Neuroscience 37 16%
Pharmacology, Toxicology and Pharmaceutical Science 18 8%
Psychology 16 7%
Biochemistry, Genetics and Molecular Biology 13 6%
Other 38 16%
Unknown 54 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 25 August 2020.
All research outputs
#588,802
of 16,055,114 outputs
Outputs from Current Neuropharmacology
#28
of 599 outputs
Outputs of similar age
#16,136
of 270,324 outputs
Outputs of similar age from Current Neuropharmacology
#2
of 10 outputs
Altmetric has tracked 16,055,114 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 599 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 95% 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 270,324 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.