↓ Skip to main content

Predictive models for kidney disease: improving global outcomes (KDIGO) defined acute kidney injury in UK cardiac surgery

Overview of attention for article published in Critical Care, November 2014
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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
8 X users
facebook
1 Facebook page

Readers on

mendeley
106 Mendeley
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
Predictive models for kidney disease: improving global outcomes (KDIGO) defined acute kidney injury in UK cardiac surgery
Published in
Critical Care, November 2014
DOI 10.1186/s13054-014-0606-x
Pubmed ID
Authors

Kate Birnie, Veerle Verheyden, Domenico Pagano, Moninder Bhabra, Kate Tilling, Jonathan A Sterne, Gavin J Murphy

Abstract

Acute kidney injury (AKI) risk prediction scores are an objective and transparent means to enable cohort enrichment in clinical trials or to risk stratify patients preoperatively. Existing scores are limited in that they have been designed to predict only severe, or non-consensus AKI definitions and not less severe stages of AKI, which also have prognostic significance. The aim of this study was to develop and validate novel risk scores that could identify all patients at risk of AKI.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 103 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 17%
Student > Ph. D. Student 14 13%
Student > Doctoral Student 11 10%
Student > Bachelor 9 8%
Student > Master 9 8%
Other 21 20%
Unknown 24 23%
Readers by discipline Count As %
Medicine and Dentistry 58 55%
Agricultural and Biological Sciences 6 6%
Nursing and Health Professions 4 4%
Biochemistry, Genetics and Molecular Biology 2 2%
Engineering 2 2%
Other 8 8%
Unknown 26 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 12 March 2015.
All research outputs
#2,542,954
of 25,374,647 outputs
Outputs from Critical Care
#2,202
of 6,554 outputs
Outputs of similar age
#33,849
of 369,156 outputs
Outputs of similar age from Critical Care
#30
of 167 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,554 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 66% 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 369,156 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 167 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.