↓ Skip to main content

Biomarkers in chronic kidney disease: a review

Overview of attention for article published in Kidney International, June 2011
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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
3 X users
patent
10 patents
facebook
1 Facebook page

Citations

dimensions_citation
347 Dimensions

Readers on

mendeley
616 Mendeley
citeulike
1 CiteULike
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
Biomarkers in chronic kidney disease: a review
Published in
Kidney International, June 2011
DOI 10.1038/ki.2011.198
Pubmed ID
Authors

Robert G. Fassett, Sree K. Venuthurupalli, Glenda C. Gobe, Jeff S. Coombes, Matthew A. Cooper, Wendy E. Hoy

Abstract

Chronic kidney disease (CKD) is a major public health problem. The classification of CKD by KDOQI and KDIGO and the routine eGFR reporting have resulted in increased identification of CKD. It is important to be able to identify those at high risk of CKD progression and its associated cardiovascular disease (CVD). Proteinuria is the most sensitive marker of CKD progression in clinical practice, especially when combined with eGFR, but these have limitations. Hence, early, more sensitive, biomarkers are required. Recently, promising biomarkers have been identified for CKD progression and its associated CVD morbidity and mortality. These may be more sensitive biomarkers of kidney function, the underlying pathophysiological processes, and/or cardiovascular risk. Although there are some common pathways to CKD progression, there are many primary causes, each with its own specific pathophysiological mechanism. Hence, a panel measuring multiple biomarkers including disease-specific biomarkers may be required. Large, longitudinal observational studies are needed to validate candidate biomarkers in a broad range of populations prior to implementation into routine CKD management. Recent renal biomarkers discovered include neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, and liver-type fatty acid-binding protein. Although none are ready for use in clinical practice, it is timely to review the role of such biomarkers in predicting CKD progression and/or CVD risk in CKD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 616 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 <1%
Korea, Republic of 2 <1%
Bangladesh 1 <1%
Germany 1 <1%
Hungary 1 <1%
Indonesia 1 <1%
Tanzania, United Republic of 1 <1%
France 1 <1%
Australia 1 <1%
Other 9 1%
Unknown 596 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 90 15%
Student > Master 79 13%
Researcher 77 13%
Student > Bachelor 72 12%
Student > Postgraduate 45 7%
Other 138 22%
Unknown 115 19%
Readers by discipline Count As %
Medicine and Dentistry 203 33%
Agricultural and Biological Sciences 83 13%
Biochemistry, Genetics and Molecular Biology 58 9%
Pharmacology, Toxicology and Pharmaceutical Science 36 6%
Chemistry 23 4%
Other 73 12%
Unknown 140 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 26 January 2023.
All research outputs
#3,113,134
of 25,371,288 outputs
Outputs from Kidney International
#1,248
of 7,405 outputs
Outputs of similar age
#15,200
of 126,803 outputs
Outputs of similar age from Kidney International
#8
of 47 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,405 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 83% 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 126,803 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 88% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.