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Development of a liver graft assessment expert machine-learning system: when the artificial intelligence helps liver transplant surgeons

Overview of attention for article published in Frontiers in Surgery, September 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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9 Mendeley
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Title
Development of a liver graft assessment expert machine-learning system: when the artificial intelligence helps liver transplant surgeons
Published in
Frontiers in Surgery, September 2023
DOI 10.3389/fsurg.2023.1048451
Pubmed ID
Authors

Beatriz Pontes Balanza, Juan M. Castillo Tuñón, Daniel Mateos García, Javier Padillo Ruiz, José C. Riquelme Santos, José M. Álamo Martinez, Carmen Bernal Bellido, Gonzalo Suarez Artacho, Carmen Cepeda Franco, Miguel A. Gómez Bravo, Luis M. Marín Gómez

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 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 %
Unspecified 1 11%
Other 1 11%
Student > Doctoral Student 1 11%
Unknown 6 67%
Readers by discipline Count As %
Medicine and Dentistry 2 22%
Unspecified 1 11%
Unknown 6 67%
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 22 September 2023.
All research outputs
#22,896,725
of 25,530,891 outputs
Outputs from Frontiers in Surgery
#2,263
of 3,995 outputs
Outputs of similar age
#292,989
of 353,606 outputs
Outputs of similar age from Frontiers in Surgery
#49
of 114 outputs
Altmetric has tracked 25,530,891 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,995 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 353,606 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.