↓ Skip to main content

Machine Learning Models to Predict Major Adverse Cardiovascular Events After Orthotopic Liver Transplantation: A Cohort Study

Overview of attention for article published in Journal of Cardiothoracic and Vascular Anesthesia, February 2021
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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
14 X users

Readers on

mendeley
60 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.
Article details
Title
Machine Learning Models to Predict Major Adverse Cardiovascular Events After Orthotopic Liver Transplantation: A Cohort Study
Published in
Journal of Cardiothoracic and Vascular Anesthesia, February 2021
DOI 10.1053/j.jvca.2021.02.006
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 5 8%
Other 4 7%
Researcher 4 7%
Lecturer 3 5%
Professor > Associate Professor 3 5%
Other 8 13%
Unknown 33 55%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 14 23%
Computer Science 4 7%
Nursing and Health Professions 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Mathematics 1 2%
Other 2 3%
Unknown 35 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 05 June 2021.
All research outputs
#5,636,821
of 33,903,899 outputs
Outputs from Journal of Cardiothoracic and Vascular Anesthesia
#651
of 4,205 outputs
Outputs of similar age
#110,793
of 579,218 outputs
Outputs of similar age from Journal of Cardiothoracic and Vascular Anesthesia
#26
of 96 outputs
Altmetric has tracked 33,903,899 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,205 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 84% 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 579,218 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 80% of its contemporaries.
We're also able to compare this research output to 96 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 72% of its contemporaries.