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Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study

Overview of attention for article published in Transplant International, September 2023
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
13 X users

Readers on

mendeley
14 Mendeley
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Title
Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study
Published in
Transplant International, September 2023
DOI 10.3389/ti.2023.11149
Pubmed ID
Authors

Fakhar Ali Qazi Arisar, Emmanuel Salinas-Miranda, Hamideh Ale Ali, Katherine Lajkosz, Catherine Chen, Amirhossein Azhie, Gerard M. Healy, Dominik Deniffel, Masoom A. Haider, Mamatha Bhat

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Researcher 1 7%
Student > Master 1 7%
Unknown 9 64%
Readers by discipline Count As %
Medicine and Dentistry 4 29%
Agricultural and Biological Sciences 1 7%
Computer Science 1 7%
Unknown 8 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 November 2023.
All research outputs
#3,941,424
of 26,548,096 outputs
Outputs from Transplant International
#289
of 1,928 outputs
Outputs of similar age
#65,433
of 365,521 outputs
Outputs of similar age from Transplant International
#13
of 53 outputs
Altmetric has tracked 26,548,096 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,928 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 365,521 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 82% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.