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Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection.

Overview of attention for article published in Archives of Pathology & Laboratory Medicine, September 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
8 news outlets
twitter
5 X users

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection.
Published in
Archives of Pathology & Laboratory Medicine, September 2023
DOI 10.5858/arpa.2022-0066-oa
Pubmed ID
Authors

Patricia Raciti, Jillian Sue, Juan A Retamero, Rodrigo Ceballos, Ran Godrich, Jeremy D Kunz, Adam Casson, Dilip Thiagarajan, Zahra Ebrahimzadeh, Julian Viret, Donghun Lee, Peter J Schüffler, George DeMuth, Emre Gulturk, Christopher Kanan, Brandon Rothrock, Jorge Reis-Filho, David S Klimstra, Victor Reuter, Thomas J Fuchs

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 10%
Student > Bachelor 4 8%
Student > Master 4 8%
Researcher 3 6%
Student > Doctoral Student 1 2%
Other 4 8%
Unknown 30 59%
Readers by discipline Count As %
Medicine and Dentistry 11 22%
Business, Management and Accounting 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Engineering 2 4%
Computer Science 2 4%
Other 3 6%
Unknown 28 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 06 December 2023.
All research outputs
#697,219
of 25,392,582 outputs
Outputs from Archives of Pathology & Laboratory Medicine
#90
of 2,749 outputs
Outputs of similar age
#12,337
of 353,028 outputs
Outputs of similar age from Archives of Pathology & Laboratory Medicine
#2
of 29 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,749 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one has done particularly well, scoring higher than 96% 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 353,028 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.