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The Dopaminergic System in Autoimmune Diseases

Overview of attention for article published in Frontiers in immunology, March 2014
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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1 blog
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7 X users
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1 patent
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7 Facebook pages

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201 Mendeley
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Title
The Dopaminergic System in Autoimmune Diseases
Published in
Frontiers in immunology, March 2014
DOI 10.3389/fimmu.2014.00117
Pubmed ID
Authors

Rodrigo Pacheco, Francisco Contreras, Moncef Zouali

Abstract

Bidirectional interactions between the immune and the nervous systems are of considerable interest both for deciphering their functioning and for designing novel therapeutic strategies. The past decade has brought a burst of insights into the molecular mechanisms involved in neuroimmune communications mediated by dopamine. Studies of dendritic cells (DCs) revealed that they express the whole machinery to synthesize and store dopamine, which may act in an autocrine manner to stimulate dopamine receptors (DARs). Depending on specific DARs stimulated on DCs and T cells, dopamine may differentially favor CD4(+) T cell differentiation into Th1 or Th17 inflammatory cells. Regulatory T cells can also release high amounts of dopamine that acts in an autocrine DAR-mediated manner to inhibit their suppressive activity. These dopaminergic regulations could represent a driving force during autoimmunity. Indeed, dopamine levels are altered in the brain of mouse models of multiple sclerosis (MS) and lupus, and in inflamed tissues of patients with inflammatory bowel diseases or rheumatoid arthritis (RA). The distorted expression of DARs in peripheral lymphocytes of lupus and MS patients also supports the importance of dopaminergic regulations in autoimmunity. Moreover, dopamine analogs had beneficial therapeutic effects in animal models, and in patients with lupus or RA. We propose models that may underlie key roles of dopamine and its receptors in autoimmune diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Colombia 1 <1%
Portugal 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Brazil 1 <1%
Russia 1 <1%
United States 1 <1%
Unknown 192 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 17%
Student > Ph. D. Student 32 16%
Student > Bachelor 24 12%
Student > Doctoral Student 16 8%
Student > Master 13 6%
Other 39 19%
Unknown 42 21%
Readers by discipline Count As %
Medicine and Dentistry 46 23%
Agricultural and Biological Sciences 31 15%
Neuroscience 21 10%
Biochemistry, Genetics and Molecular Biology 17 8%
Immunology and Microbiology 13 6%
Other 22 11%
Unknown 51 25%
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 05 April 2023.
All research outputs
#2,214,151
of 25,483,400 outputs
Outputs from Frontiers in immunology
#2,158
of 31,801 outputs
Outputs of similar age
#21,801
of 237,455 outputs
Outputs of similar age from Frontiers in immunology
#4
of 100 outputs
Altmetric has tracked 25,483,400 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 31,801 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 93% 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 237,455 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 90% of its contemporaries.
We're also able to compare this research output to 100 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 97% of its contemporaries.