↓ Skip to main content

Interpretation of an Extended Autoantibody Profile in a Well‐Characterized Australian Systemic Sclerosis (Scleroderma) Cohort Using Principal Components Analysis

Overview of attention for article published in Arthritis & Rheumatology, November 2015
Altmetric Badge

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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
3 news outlets
twitter
1 X user

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
85 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Interpretation of an Extended Autoantibody Profile in a Well‐Characterized Australian Systemic Sclerosis (Scleroderma) Cohort Using Principal Components Analysis
Published in
Arthritis & Rheumatology, November 2015
DOI 10.1002/art.39316
Pubmed ID
Authors

K A Patterson, P J Roberts-Thomson, S Lester, J A Tan, P Hakendorf, M Rischmueller, J Zochling, J Sahhar, P Nash, J Roddy, C Hill, M Nikpour, W Stevens, S M Proudman, J G Walker

Abstract

To determine the relationships between systemic sclerosis (SSc) related autoantibodies (AA), and their clinical associations, in a well characterised Australian patient cohort. Serum from 505 Australian SSc patients were analysed with a line immunoassay (EUROLINE, Euroimmun, Lubeck, Germany) for AA to centromere (CENP) A and B, RNA polymerase III (RNAP3) (11 and 155 epitopes), NOR-90, Fibrillarin, Th/To, PMScl-75 and PMScl-100, Ku, Topoisomerase-1 (Topo1), TRIM21/Ro52 and PDGF-Receptor (PDGFR). Patient subgroups were identified by hierarchical clustering of the first two dimensions of a Principal Components Analysis (PCA) of quantitative AA scores. Results were compared with detailed clinical data. 449/505 patients were positive for at least one immunoblot AA. Heatmap visualisation of AA scores, and PCA clustering, demonstrated strong, mutually exclusive relationships between CENP, RNAP3 and Topo1. Five patient clusters were identified (CENP, RNAP3 'strong', RNAP3 'weak', Topo1, "Other"). Clinical features associated with CENP, RNAP3 and Topo1 were consistent with previously published reports concerning limited cutaneous and diffuse cutaneous SSc. A novel finding was the statistical separation of RNAP3 into two clusters. RNAP3 'strong' patients had an increased risk of gastric antral vascular ectasia, but a lower risk of oesophageal dysmotility. "Other" patients were more likely to be males and have a history of smoking and malignancy, but less likely to have telangiectasia, Raynaud's phenomenon and joint contractures. Five major autoantibody clusters, with specific clinical and serological associations, were identified in Australian SSc patients. Sub-classification and disease stratification utilising AAs, may have clinical utility, particularly in early disease. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Egypt 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 18%
Student > Master 11 13%
Student > Ph. D. Student 9 11%
Student > Postgraduate 8 9%
Other 7 8%
Other 20 24%
Unknown 15 18%
Readers by discipline Count As %
Medicine and Dentistry 44 52%
Agricultural and Biological Sciences 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Immunology and Microbiology 2 2%
Nursing and Health Professions 2 2%
Other 10 12%
Unknown 20 24%
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 12 February 2016.
All research outputs
#1,472,274
of 24,477,448 outputs
Outputs from Arthritis & Rheumatology
#516
of 2,958 outputs
Outputs of similar age
#25,128
of 396,486 outputs
Outputs of similar age from Arthritis & Rheumatology
#13
of 79 outputs
Altmetric has tracked 24,477,448 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 2,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 82% 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 396,486 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 93% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.