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Oliguria as predictive biomarker of acute kidney injury in critically ill patients

Overview of attention for article published in Critical Care, July 2011
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
194 Dimensions

Readers on

mendeley
178 Mendeley
citeulike
1 CiteULike
Title
Oliguria as predictive biomarker of acute kidney injury in critically ill patients
Published in
Critical Care, July 2011
DOI 10.1186/cc10318
Pubmed ID
Authors

John R Prowle, Yan-Lun Liu, Elisa Licari, Sean M Bagshaw, Moritoki Egi, Michael Haase, Anja Haase-Fielitz, John A Kellum, Dinna Cruz, Claudio Ronco, Kenji Tsutsui, Shigehiko Uchino, Rinaldo Bellomo

Abstract

During critical illness, oliguria is often used as a biomarker of acute kidney injury (AKI). However, its relationship with the subsequent development of AKI has not been prospectively evaluated.

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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Colombia 1 <1%
Italy 1 <1%
South Africa 1 <1%
Mexico 1 <1%
Russia 1 <1%
Japan 1 <1%
United States 1 <1%
Philippines 1 <1%
Other 0 0%
Unknown 168 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 16%
Student > Master 25 14%
Student > Postgraduate 21 12%
Other 16 9%
Professor > Associate Professor 16 9%
Other 44 25%
Unknown 27 15%
Readers by discipline Count As %
Medicine and Dentistry 115 65%
Nursing and Health Professions 12 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Computer Science 3 2%
Engineering 3 2%
Other 11 6%
Unknown 30 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 November 2018.
All research outputs
#3,608,756
of 25,381,783 outputs
Outputs from Critical Care
#2,790
of 6,539 outputs
Outputs of similar age
#17,632
of 125,657 outputs
Outputs of similar age from Critical Care
#8
of 24 outputs
Altmetric has tracked 25,381,783 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,539 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has gotten more attention than average, scoring higher than 57% 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 125,657 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 85% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.