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Immunoglobulin E-Mediated Autoimmunity

Overview of attention for article published in Frontiers in immunology, April 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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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21 X users
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Title
Immunoglobulin E-Mediated Autoimmunity
Published in
Frontiers in immunology, April 2018
DOI 10.3389/fimmu.2018.00689
Pubmed ID
Authors

Marcus Maurer, Sabine Altrichter, Oliver Schmetzer, Jörg Scheffel, Martin K. Church, Martin Metz

Abstract

The study of autoimmunity mediated by immunoglobulin E (IgE) autoantibodies, which may be termed autoallergy, is in its infancy. It is now recognized that systemic lupus erythematosus, bullous pemphigoid (BP), and chronic urticaria, both spontaneous and inducible, are most likely to be mediated, at least in part, by IgE autoantibodies. The situation in other conditions, such as autoimmune uveitis, rheumatoid arthritis, hyperthyroid Graves' disease, autoimmune pancreatitis, and even asthma, is far less clear but evidence for autoallergy is accumulating. To be certain of an autoallergic mechanism, it is necessary to identify both IgE autoantibodies and their targets as has been done with the transmembrane protein BP180 and the intracellular protein BP230 in BP and IL-24 in chronic spontaneous urticaria. Also, IgE-targeted therapies, such as anti-IgE, must have been shown to be of benefit to patients as has been done with both of these conditions. This comprehensive review of the literature on IgE-mediated autoallergy focuses on three related questions. What do we know about the prevalence of IgE autoantibodies and their targets in different diseases? What do we know about the relevance of IgE autoantibodies in different diseases? What do we know about the cellular and molecular effects of IgE autoantibodies? In addition to providing answers to these questions, based on a broad review of the literature, we outline the current gaps of knowledge in our understanding of IgE autoantibodies and describe approaches to address them.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 164 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 13%
Student > Bachelor 18 11%
Student > Master 15 9%
Student > Ph. D. Student 12 7%
Student > Postgraduate 11 7%
Other 29 18%
Unknown 58 35%
Readers by discipline Count As %
Medicine and Dentistry 39 24%
Biochemistry, Genetics and Molecular Biology 17 10%
Immunology and Microbiology 17 10%
Agricultural and Biological Sciences 9 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 1%
Other 9 5%
Unknown 71 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 14 August 2019.
All research outputs
#2,927,388
of 26,281,970 outputs
Outputs from Frontiers in immunology
#3,076
of 32,914 outputs
Outputs of similar age
#57,770
of 347,399 outputs
Outputs of similar age from Frontiers in immunology
#89
of 685 outputs
Altmetric has tracked 26,281,970 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,914 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 90% 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 347,399 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 685 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.