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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Readers on

mendeley
187 Mendeley
citeulike
1 CiteULike
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Article details
Title
Improved performance of urinary biomarkers of acute kidney injury in the critically ill by stratification for injury duration and baseline renal function
Published in
Kidney International, February 2011
DOI 10.1038/ki.2010.555
Pubmed ID
Authors
Abstract

To better understand the diagnostic and predictive performance of urinary biomarkers of kidney injury, we evaluated γ-glutamyltranspeptidase (GGT), alkaline phosphatase (AP), neutrophil-gelatinase-associated lipocalin (NGAL), cystatin C (CysC), kidney injury molecule-1 (KIM-1), and interleukin-18 (IL-18) in a prospective observational study of 529 patients in 2 general intensive care units (ICUs). Comparisons were made using the area under the receiver operator characteristic curve (AUC) for diagnosis or prediction of acute kidney injury (AKI), dialysis, or death, and reassessed after patient stratification by baseline renal function (estimated glomerular filtration rate, eGFR) and time after renal insult. On ICU entry, no biomarker had an AUC above 0.7 in the diagnosis or prediction of AKI. Several biomarkers (NGAL, CysC, and IL-18) predicted dialysis (AUC over 0.7), and all except KIM-1 predicted death at 7 days (AUC between 0.61 and 0.69). Performance was improved by stratification for eGFR or time or both. With eGFR <60 ml/min, CysC and KIM-1 had AUCs of 0.69 and 0.73, respectively, within 6 h of injury, and between 12 and 36 h, CysC (0.88), NGAL (0.85), and IL-18 (0.94) had utility. With eGFR >60 ml/min, GGT (0.73), CysC (0.68), and NGAL (0.68) had the highest AUCs within 6 h of injury, and between 6 and 12 h, all AUCs except AP were between 0.68 and 0.78. Beyond 12 h, NGAL (0.71) and KIM-1 (0.66) performed best. Thus, the duration of injury and baseline renal function should be considered in evaluating biomarker performance to diagnose AKI.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Brazil 3 2%
Singapore 1 <1%
Mexico 1 <1%
Italy 1 <1%
Denmark 1 <1%
Canada 1 <1%
Unknown 179 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 30 16%
Student > Master 19 10%
Student > Postgraduate 17 9%
Student > Doctoral Student 16 9%
Student > Bachelor 15 8%
Other 51 27%
Unknown 39 21%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 95 51%
Agricultural and Biological Sciences 11 6%
Biochemistry, Genetics and Molecular Biology 9 5%
Nursing and Health Professions 5 3%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 21 11%
Unknown 41 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 22 June 2023.
All research outputs
#3,377,004
of 26,837,848 outputs
Outputs from Kidney International
#1,384
of 7,634 outputs
Outputs of similar age
#19,388
of 201,176 outputs
Outputs of similar age from Kidney International
#8
of 41 outputs
Altmetric has tracked 26,837,848 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 7,634 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 81% 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 201,176 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 90% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.