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Perioperative parameters-based prediction model for acute kidney injury in Chinese population following valvular surgery

Overview of attention for article published in Frontiers in Cardiovascular Medicine, March 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Perioperative parameters-based prediction model for acute kidney injury in Chinese population following valvular surgery
Published in
Frontiers in Cardiovascular Medicine, March 2023
DOI 10.3389/fcvm.2023.1094997
Pubmed ID
Authors

Yun Yan, Hairong Gong, Jie Hu, Di Wu, Ziyu Zheng, Lini Wang, Chong Lei

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 11%
Student > Master 1 11%
Unknown 7 78%
Readers by discipline Count As %
Neuroscience 1 11%
Medicine and Dentistry 1 11%
Unknown 7 78%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 March 2023.
All research outputs
#20,924,373
of 26,586,231 outputs
Outputs from Frontiers in Cardiovascular Medicine
#3,916
of 9,591 outputs
Outputs of similar age
#309,645
of 434,229 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#214
of 593 outputs
Altmetric has tracked 26,586,231 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,591 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 51% 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 434,229 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 593 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 55% of its contemporaries.