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Weakly supervised large-scale pancreatic cancer detection using multi-instance learning

Overview of attention for article published in Frontiers in oncology, August 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
Weakly supervised large-scale pancreatic cancer detection using multi-instance learning
Published in
Frontiers in oncology, August 2024
DOI 10.3389/fonc.2024.1362850
Pubmed ID
Authors

Shyamapada Mandal, Keerthiveena Balraj, Hariprasad Kodamana, Chetan Arora, Julie M. Clark, David S. Kwon, Anurag S. Rathore

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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 01 August 2024.
All research outputs
#21,319,302
of 26,251,549 outputs
Outputs from Frontiers in oncology
#11,992
of 23,409 outputs
Outputs of similar age
#120,412
of 187,366 outputs
Outputs of similar age from Frontiers in oncology
#56
of 408 outputs
Altmetric has tracked 26,251,549 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,409 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 27th percentile – i.e., 27% 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 187,366 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 408 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.