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Polychromatic flow cytometry in evaluating rheumatic disease patients

Overview of attention for article published in Arthritis Research & Therapy, March 2015
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Title
Polychromatic flow cytometry in evaluating rheumatic disease patients
Published in
Arthritis Research & Therapy, March 2015
DOI 10.1186/s13075-015-0561-1
Pubmed ID
Authors

Chungwen Wei, Scott Jenks, Iñaki Sanz

Abstract

B cells are central players in multiple autoimmune rheumatic diseases as a result of the imbalance between pathogenic and protective B-cell functions, which are presumably mediated by distinct populations. Yet the functional role of different B-cell populations and the contribution of specific subsets to disease pathogenesis remain to be fully understood owing to a large extent to the use of pauci-color flow cytometry. Despite its limitations, this approach has been instrumental in providing a global picture of multiple B-cell abnormalities in multiple human rheumatic diseases, more prominently systemic lupus erythematosus, rheumatoid arthritis and Sjogren's syndrome. Accordingly, these studies represent the focus of this review. In addition, we also discuss the added value of tapping into the potential of polychromatic flow cytometry to unravel a higher level of B-cell heterogeneity, provide a more nuanced view of B-cell abnormalities in disease and create the foundation for a precise understanding of functional division of labor among the different phenotypic subsets. State-of-the-art polychromatic flow cytometry and novel multidimensional analytical approaches hold tremendous promise for our understanding of disease pathogenesis, the generation of disease biomarkers, patient stratification and personalized therapeutic approaches.

X Demographics

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The data shown below were collected from the profiles of 4 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Ph. D. Student 11 15%
Student > Master 10 14%
Student > Bachelor 6 8%
Other 6 8%
Other 8 11%
Unknown 18 25%
Readers by discipline Count As %
Medicine and Dentistry 26 36%
Biochemistry, Genetics and Molecular Biology 10 14%
Agricultural and Biological Sciences 7 10%
Immunology and Microbiology 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 4 5%
Unknown 18 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2016.
All research outputs
#15,092,197
of 25,374,917 outputs
Outputs from Arthritis Research & Therapy
#2,193
of 3,381 outputs
Outputs of similar age
#134,520
of 272,868 outputs
Outputs of similar age from Arthritis Research & Therapy
#39
of 76 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 34th percentile – i.e., 34% 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 272,868 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.