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Prolactin and Autoimmunity

Overview of attention for article published in Frontiers in immunology, February 2018
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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33 X users
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1 patent
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1 Facebook page
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1 YouTube creator

Citations

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147 Dimensions

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206 Mendeley
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Title
Prolactin and Autoimmunity
Published in
Frontiers in immunology, February 2018
DOI 10.3389/fimmu.2018.00073
Pubmed ID
Authors

Vânia Vieira Borba, Gisele Zandman-Goddard, Yehuda Shoenfeld

Abstract

The great asymmetry of autoimmune diseases between genders represents one of the most enigmatic observations among the mosaic of autoimmunity. Sex hormones are believed to play a crucial role on this dimorphism. The higher prevalence of autoimmunity among women at childbearing ages, disease onset/relapses during pregnancy, and post-partum are some of the arguments that support this hypothesis. Certainly, motherhood represents one of the most remarkable challenges for the immune system, which not only has to allow for the conceptus, but also has to deal with complex endocrine alterations. Hormonal homeostasis is known to exert a crucial influence in achieving a competent and healthy immune system. Prolactin (PRL) has a bioactive function acting as a hormone and a cytokine. It interferes with immune system modulation, mainly inhibiting the negative selection of autoreactive B lymphocytes. Likewise, hyperprolactinemia has been described in relation to the pathogenesis and activity of several autoimmune disorders. Dopamine is an effective inhibitor of PRL secretion due to either a direct influence on the hypophysis or stimulation of postsynaptic dopamine receptors in the hypothalamus, arousing the release of the PRL inhibitory factor. Hence, dopamine agonists have proven to offer clinical benefits among autoimmune patients and represent a promising therapy to be explored. In this review, we attempt to provide a critical overview of the link between PRL, autoimmune diseases, and motherhood.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 206 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 12%
Student > Bachelor 24 12%
Student > Ph. D. Student 21 10%
Student > Postgraduate 12 6%
Student > Doctoral Student 10 5%
Other 29 14%
Unknown 86 42%
Readers by discipline Count As %
Medicine and Dentistry 45 22%
Biochemistry, Genetics and Molecular Biology 15 7%
Agricultural and Biological Sciences 13 6%
Immunology and Microbiology 9 4%
Neuroscience 9 4%
Other 22 11%
Unknown 93 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 29 August 2023.
All research outputs
#1,641,798
of 26,314,972 outputs
Outputs from Frontiers in immunology
#1,501
of 32,942 outputs
Outputs of similar age
#38,041
of 460,504 outputs
Outputs of similar age from Frontiers in immunology
#46
of 658 outputs
Altmetric has tracked 26,314,972 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,942 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. 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 460,504 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 91% of its contemporaries.
We're also able to compare this research output to 658 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 93% of its contemporaries.