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Anti-neutrophil cytoplasmic antibodies and their clinical significance

Overview of attention for article published in Clinical Rheumatology, March 2018
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Title
Anti-neutrophil cytoplasmic antibodies and their clinical significance
Published in
Clinical Rheumatology, March 2018
DOI 10.1007/s10067-018-4062-x
Pubmed ID
Authors

Supaporn Suwanchote, Muanpetch Rachayon, Pongsawat Rodsaward, Jongkonnee Wongpiyabovorn, Tawatchai Deekajorndech, Helen L. Wright, Steven W. Edwards, Michael W. Beresford, Pawinee Rerknimitr, Direkrit Chiewchengchol

Abstract

Anti-neutrophil cytoplasmic antibodies (ANCA) are a group of autoantibodies that cause systemic vascular inflammation by binding to target antigens of neutrophils. These autoantibodies can be found in serum from patients with systemic small-vessel vasculitis and they are considered as a biomarker for ANCA-associated vasculitis (AAV). A conventional screening test to detect ANCA in the serum is indirect immunofluorescence study, and subsequently confirmed by enzyme-linked immunosorbent assay. A positive staining of ANCA can be classified into three main categories based on the staining patterns: cytoplasmic, perinuclear, and atypical. Patients with granulomatosis with polyangiitis (GPA) mostly have a positive cytoplasmic staining pattern (c-ANCA) whilst a perinuclear pattern (p-ANCA) is more common in microscopic polyangiitis (MPA) and eosinophilic granulomatosis with polyangiitis (EGPA) patients. Atypical pattern (a-ANCA) is rarely seen in patients with systemic small-vessel vasculitis but it can be found in other conditions. Here, techniques for ANCA detection, ANCA staining patterns and their clinical significances are reviewed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Other 8 12%
Researcher 7 10%
Student > Postgraduate 7 10%
Student > Bachelor 7 10%
Student > Doctoral Student 5 7%
Other 12 17%
Unknown 23 33%
Readers by discipline Count As %
Medicine and Dentistry 29 42%
Immunology and Microbiology 4 6%
Biochemistry, Genetics and Molecular Biology 3 4%
Unspecified 2 3%
Nursing and Health Professions 1 1%
Other 2 3%
Unknown 28 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 April 2018.
All research outputs
#20,469,520
of 23,028,364 outputs
Outputs from Clinical Rheumatology
#2,665
of 3,043 outputs
Outputs of similar age
#293,879
of 332,647 outputs
Outputs of similar age from Clinical Rheumatology
#55
of 69 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,043 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 332,647 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.