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Artificial Intelligence May Predict Early Sepsis After Liver Transplantation

Overview of attention for article published in Frontiers in Physiology, September 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
4 X users
patent
1 patent

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Artificial Intelligence May Predict Early Sepsis After Liver Transplantation
Published in
Frontiers in Physiology, September 2021
DOI 10.3389/fphys.2021.692667
Pubmed ID
Authors

Rishikesan Kamaleswaran, Sanjaya K. Sataphaty, Valeria R. Mas, James D. Eason, Daniel G. Maluf

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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Unspecified 4 17%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Student > Master 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Unspecified 4 17%
Computer Science 4 17%
Medicine and Dentistry 3 13%
Nursing and Health Professions 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 1 4%
Unknown 9 39%
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 31 August 2023.
All research outputs
#6,565,469
of 24,833,726 outputs
Outputs from Frontiers in Physiology
#2,994
of 15,257 outputs
Outputs of similar age
#123,090
of 422,496 outputs
Outputs of similar age from Frontiers in Physiology
#122
of 702 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 15,257 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 80% 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 422,496 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 70% of its contemporaries.
We're also able to compare this research output to 702 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.