Title |
Clinical application of machine learning models in patients with prostate cancer before prostatectomy
|
---|---|
Published in |
Cancer Imaging, February 2024
|
DOI | 10.1186/s40644-024-00666-y |
Pubmed ID | |
Authors |
Adalgisa Guerra, Matthew R. Orton, Helen Wang, Marianna Konidari, Kris Maes, Nickolas K. Papanikolaou, Dow Mu Koh |
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 % |
---|---|---|
Student > Ph. D. Student | 3 | 33% |
Researcher | 1 | 11% |
Unknown | 5 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Linguistics | 3 | 33% |
Engineering | 1 | 11% |
Unknown | 5 | 56% |
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 15 March 2024.
All research outputs
#6,794,218
of 25,497,142 outputs
Outputs from Cancer Imaging
#78
of 675 outputs
Outputs of similar age
#73,107
of 288,132 outputs
Outputs of similar age from Cancer Imaging
#1
of 7 outputs
Altmetric has tracked 25,497,142 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 675 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 88% 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 288,132 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them