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Acute Kidney Injury Prediction Model Using Cystatin-C, Beta-2 Microglobulin, and Neutrophil Gelatinase-Associated Lipocalin Biomarker in Sepsis Patients

Overview of attention for article published in International Journal of Nephrology and Renovascular Disease, March 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
Title
Acute Kidney Injury Prediction Model Using Cystatin-C, Beta-2 Microglobulin, and Neutrophil Gelatinase-Associated Lipocalin Biomarker in Sepsis Patients
Published in
International Journal of Nephrology and Renovascular Disease, March 2024
DOI 10.2147/ijnrd.s450901
Pubmed ID
Authors

Hani Susianti, Aswoco Andyk Asmoro, Sujarwoto, Wiwi Jaya, Heri Sutanto, Amanda Yuanita Kusdijanto, Kevin Putro Kuwoyo, Kristian Hananto, Matthew Brian Khrisna

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 33%
Unknown 2 67%
Readers by discipline Count As %
Medicine and Dentistry 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 25 July 2024.
All research outputs
#7,110,832
of 26,432,239 outputs
Outputs from International Journal of Nephrology and Renovascular Disease
#63
of 263 outputs
Outputs of similar age
#97,653
of 356,392 outputs
Outputs of similar age from International Journal of Nephrology and Renovascular Disease
#1
of 4 outputs
Altmetric has tracked 26,432,239 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 263 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 74% 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 356,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them