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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
4 Mendeley
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Article details
Title
A Deep Learning Framework for Causal Inference in Clinical Trial Design: The Clinical Trials Uncovering Real Efficacy Artificial Intelligence Large Clinicogenomic Foundation Model
Published in
AI in Precision Oncology, August 2025
DOI 10.1177/2993091x251369852
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Postgraduate 1 25%
Professor > Associate Professor 1 25%
Unknown 1 25%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 25%
Medicine and Dentistry 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 September 2026.
All research outputs
#10,690,389
of 34,325,395 outputs
Outputs from AI in Precision Oncology
#27
of 45 outputs
Outputs of similar age
#88,792
of 348,472 outputs
Outputs of similar age from AI in Precision Oncology
#3
of 4 outputs
Altmetric has tracked 34,325,395 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 45 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one scored the same or higher as 18 of them.
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 348,472 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 74% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.