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Diagnostic accuracy of artificial intelligence for detecting gastrointestinal luminal pathologies: A systematic review and meta-analysis

Overview of attention for article published in Frontiers in Medicine, November 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Diagnostic accuracy of artificial intelligence for detecting gastrointestinal luminal pathologies: A systematic review and meta-analysis
Published in
Frontiers in Medicine, November 2022
DOI 10.3389/fmed.2022.1018937
Pubmed ID
Authors

Om Parkash, Asra Tus Saleha Siddiqui, Uswa Jiwani, Fahad Rind, Zahra Ali Padhani, Arjumand Rizvi, Zahra Hoodbhoy, Jai K. Das

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 19%
Student > Ph. D. Student 1 5%
Other 1 5%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Other 0 0%
Unknown 13 62%
Readers by discipline Count As %
Medicine and Dentistry 3 14%
Nursing and Health Professions 2 10%
Social Sciences 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 12 57%
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 13 July 2023.
All research outputs
#19,746,782
of 25,138,857 outputs
Outputs from Frontiers in Medicine
#4,544
of 7,021 outputs
Outputs of similar age
#302,362
of 435,916 outputs
Outputs of similar age from Frontiers in Medicine
#321
of 514 outputs
Altmetric has tracked 25,138,857 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,021 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 30th percentile – i.e., 30% 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 435,916 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 514 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.