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Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2019
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

news
1 news outlet
patent
1 patent

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
137 Mendeley
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Title
Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements
Published in
BMC Medical Informatics and Decision Making, January 2019
DOI 10.1186/s12911-019-0733-z
Pubmed ID
Authors

Lindsay P. Zimmerman, Paul A. Reyfman, Angela D. R. Smith, Zexian Zeng, Abel Kho, L. Nelson Sanchez-Pinto, Yuan Luo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 15%
Student > Ph. D. Student 15 11%
Student > Master 12 9%
Student > Bachelor 12 9%
Unspecified 11 8%
Other 26 19%
Unknown 40 29%
Readers by discipline Count As %
Medicine and Dentistry 28 20%
Computer Science 13 9%
Nursing and Health Professions 12 9%
Unspecified 11 8%
Engineering 8 6%
Other 21 15%
Unknown 44 32%
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 11 August 2022.
All research outputs
#2,982,459
of 23,063,209 outputs
Outputs from BMC Medical Informatics and Decision Making
#241
of 2,010 outputs
Outputs of similar age
#72,809
of 437,391 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#13
of 41 outputs
Altmetric has tracked 23,063,209 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,010 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 87% 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 437,391 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 82% 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 gotten more attention than average, scoring higher than 65% of its contemporaries.