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Potential serum and urine biomarkers in patients with lupus nephritis and the unsolved problems

Overview of attention for article published in Open Access Rheumatology : Research and Reviews , September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 192)
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

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1 news outlet

Citations

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30 Dimensions

Readers on

mendeley
74 Mendeley
Title
Potential serum and urine biomarkers in patients with lupus nephritis and the unsolved problems
Published in
Open Access Rheumatology : Research and Reviews , September 2016
DOI 10.2147/oarrr.s112829
Pubmed ID
Authors

Song-Chou Hsieh, Chang-Youh Tsai, Chia-Li Yu

Abstract

Lupus nephritis (LN) is one of the most frequent and serious complications in the patients with systemic lupus erythematosus. Autoimmune-mediated inflammation in both renal glomerular and tubulointerstitial tissues is the major pathological finding of LN. In clinical practice, the elevated anti-dsDNA antibody titer concomitant with reduced complement C3 and C4 levels has become the predictive and disease-activity surrogate biomarkers in LN. However, more and more evidences suggest that autoantibodies other than anti-dsDNA antibodies, such as anti-nucleosome, anti-C1q, anti-C3b, anti-cardiolipin, anti-endothelial cell, anti-ribonuclear proteins, and anti-glomerular matrix (anti-actinin) antibodies, may also involve in LN. Researchers have demonstrated that the circulating preformed and in situ-formed immune complexes as well as the direct cytotoxic effects by those cross-reactive autoantibodies mediated kidney damage. On the other hand, many efforts had been made to find useful urine biomarkers for LN activity via measurement of immune-related mediators, surface-enhanced laser desorption/ionization time-of-flight mass spectrometry proteomic signature, and assessment of mRNA and exosomal-derived microRNA from urine sediment cell. Our group had also devoted to this field with some novel findings. In this review, we briefly discuss the possible mechanisms of LN and try to figure out the potential serum and urine biomarkers in LN. Finally, some of the unsolved problems in this field are discussed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Other 15 20%
Researcher 12 16%
Student > Ph. D. Student 8 11%
Student > Master 6 8%
Student > Bachelor 5 7%
Other 16 22%
Unknown 12 16%
Readers by discipline Count As %
Medicine and Dentistry 36 49%
Biochemistry, Genetics and Molecular Biology 8 11%
Immunology and Microbiology 6 8%
Agricultural and Biological Sciences 5 7%
Economics, Econometrics and Finance 1 1%
Other 3 4%
Unknown 15 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 25 July 2023.
All research outputs
#4,893,216
of 25,604,262 outputs
Outputs from Open Access Rheumatology : Research and Reviews
#43
of 192 outputs
Outputs of similar age
#76,217
of 348,993 outputs
Outputs of similar age from Open Access Rheumatology : Research and Reviews
#3
of 3 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 192 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 75% 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 348,993 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 76% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.