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Exploring the potential of ChatGPT as an adjunct for generating diagnosis based on chief complaint and cone beam CT radiologic findings

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2024
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Mentioned by

twitter
1 X user

Citations

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1 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Exploring the potential of ChatGPT as an adjunct for generating diagnosis based on chief complaint and cone beam CT radiologic findings
Published in
BMC Medical Informatics and Decision Making, February 2024
DOI 10.1186/s12911-024-02445-y
Pubmed ID
Authors

Yanni Hu, Ziyang Hu, Wenjing Liu, Antian Gao, Shanhui Wen, Shu Liu, Zitong Lin

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Other 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Mathematics 1 14%
Nursing and Health Professions 1 14%
Agricultural and Biological Sciences 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%
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 25 April 2024.
All research outputs
#23,134,618
of 25,784,004 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,953
of 2,161 outputs
Outputs of similar age
#271,847
of 336,241 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 20 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,161 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% 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 336,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.