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Mapping autoantigen epitopes: molecular insights into autoantibody-associated disorders of the nervous system

Overview of attention for article published in Journal of Neuroinflammation, August 2016
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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 (94th percentile)

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1 policy source
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4 Facebook pages
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2 Wikipedia pages

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113 Mendeley
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Title
Mapping autoantigen epitopes: molecular insights into autoantibody-associated disorders of the nervous system
Published in
Journal of Neuroinflammation, August 2016
DOI 10.1186/s12974-016-0678-4
Pubmed ID
Authors

Nese Sinmaz, Tina Nguyen, Fiona Tea, Russell C. Dale, Fabienne Brilot

Abstract

Our knowledge of autoantibody-associated diseases of the central (CNS) and peripheral (PNS) nervous systems has expanded greatly over the recent years. A number of extracellular and intracellular autoantigens have been identified, and there is no doubt that this field will continue to expand as more autoantigens are discovered as a result of improved clinical awareness and methodological practice. In recent years, interest has shifted to uncover the target epitopes of these autoantibodies. The purpose of this review is to discuss the mapping of the epitope targets of autoantibodies in CNS and PNS antibody-mediated disorders, such as N-methyl-D-aspartate receptor (NMDAR), α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR), leucine-rich glioma-inactivated protein 1 (Lgi1), contactin-associated protein-like 2 (Caspr2), myelin oligodendrocyte glycoprotein (MOG), aquaporin-4 (AQP4), 65 kDa glutamic acid decarboxylase (GAD65), acetylcholine receptor (AChR), muscle-specific kinase (MuSK), voltage-gated calcium channel (VGCC), neurofascin (NF), and contactin. We also address the methods used to analyze these epitopes, the relevance of their determination, and how this knowledge can inform studies on autoantibody pathogenicity. Furthermore, we discuss triggers of autoimmunity, such as molecular mimicry, ectopic antigen expression, epitope spreading, and potential mechanisms for the rising number of double autoantibody-positive patients. Molecular insights into specificity and role of autoantibodies will likely improve diagnosis and treatment of CNS and PNS neuroimmune diseases.

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X Demographics

The data shown below were collected from the profiles of 20 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Korea, Republic of 1 <1%
United States 1 <1%
Spain 1 <1%
Unknown 108 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 21%
Other 11 10%
Student > Ph. D. Student 9 8%
Student > Master 9 8%
Student > Bachelor 9 8%
Other 26 23%
Unknown 25 22%
Readers by discipline Count As %
Medicine and Dentistry 27 24%
Biochemistry, Genetics and Molecular Biology 15 13%
Neuroscience 15 13%
Agricultural and Biological Sciences 13 12%
Immunology and Microbiology 5 4%
Other 7 6%
Unknown 31 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 24 November 2022.
All research outputs
#1,885,611
of 25,698,912 outputs
Outputs from Journal of Neuroinflammation
#195
of 2,968 outputs
Outputs of similar age
#32,395
of 349,241 outputs
Outputs of similar age from Journal of Neuroinflammation
#3
of 59 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,968 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. 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 349,241 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 59 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.