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Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum

Overview of attention for article published in JAMA Internal Medicine, June 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 11,941)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

dimensions_citation
894 Dimensions

Readers on

mendeley
630 Mendeley
Title
Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum
Published in
JAMA Internal Medicine, June 2023
DOI 10.1001/jamainternmed.2023.1838
Pubmed ID
Authors

John W. Ayers, Adam Poliak, Mark Dredze, Eric C. Leas, Zechariah Zhu, Jessica B. Kelley, Dennis J. Faix, Aaron M. Goodman, Christopher A. Longhurst, Michael Hogarth, Davey M. Smith

Timeline
X Demographics

X Demographics

The data shown below were collected from the profiles of 6,153 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 630 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 630 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 72 11%
Student > Ph. D. Student 45 7%
Other 34 5%
Student > Bachelor 29 5%
Student > Doctoral Student 28 4%
Other 127 20%
Unknown 295 47%
Readers by discipline Count As %
Medicine and Dentistry 118 19%
Computer Science 44 7%
Unspecified 25 4%
Social Sciences 19 3%
Psychology 15 2%
Other 100 16%
Unknown 309 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6456. 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 October 2024.
All research outputs
#498
of 26,784,510 outputs
Outputs from JAMA Internal Medicine
#5
of 11,941 outputs
Outputs of similar age
#8
of 399,242 outputs
Outputs of similar age from JAMA Internal Medicine
#1
of 81 outputs
Altmetric has tracked 26,784,510 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,941 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 87.0. This one has done particularly well, scoring higher than 99% 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 399,242 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 99% of its contemporaries.
We're also able to compare this research output to 81 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 98% of its contemporaries.