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Dove Medical Press

Identification of High-Risk Patients for Postoperative Myocardial Injury After CME Using Machine Learning: A 10-Year Multicenter Retrospective Study

Overview of attention for article published in International Journal of General Medicine, April 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
24 Mendeley
Title
Identification of High-Risk Patients for Postoperative Myocardial Injury After CME Using Machine Learning: A 10-Year Multicenter Retrospective Study
Published in
International Journal of General Medicine, April 2023
DOI 10.2147/ijgm.s409363
Pubmed ID
Authors

Yuan Liu, Chen Song, Zhiqiang Tian, Wei Shen

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 38%
Student > Master 2 8%
Lecturer > Senior Lecturer 1 4%
Student > Postgraduate 1 4%
Unknown 11 46%
Readers by discipline Count As %
Unspecified 9 38%
Medicine and Dentistry 2 8%
Agricultural and Biological Sciences 1 4%
Computer Science 1 4%
Unknown 11 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 April 2023.
All research outputs
#16,281,898
of 25,711,518 outputs
Outputs from International Journal of General Medicine
#607
of 1,665 outputs
Outputs of similar age
#216,557
of 424,122 outputs
Outputs of similar age from International Journal of General Medicine
#9
of 43 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,665 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 59% 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 424,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.