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Quality, Accuracy, and Bias in ChatGPT-Based Summarization of Medical Abstracts

Overview of attention for article published in Annals of Family Medicine, March 2024
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
10 news outlets
blogs
2 blogs
twitter
125 X users

Readers on

mendeley
3 Mendeley
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Title
Quality, Accuracy, and Bias in ChatGPT-Based Summarization of Medical Abstracts
Published in
Annals of Family Medicine, March 2024
DOI 10.1370/afm.3075
Pubmed ID
Authors

Joel Hake, Miles Crowley, Allison Coy, Denton Shanks, Aundria Eoff, Kalee Kirmer-Voss, Gurpreet Dhanda, Daniel J Parente

X Demographics

X Demographics

The data shown below were collected from the profiles of 125 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Master 1 33%
Other 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Earth and Planetary Sciences 1 33%
Medicine and Dentistry 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 146. 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 07 April 2024.
All research outputs
#286,539
of 25,918,104 outputs
Outputs from Annals of Family Medicine
#114
of 1,960 outputs
Outputs of similar age
#2,264
of 209,744 outputs
Outputs of similar age from Annals of Family Medicine
#1
of 19 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.7. This one has done particularly well, scoring higher than 94% 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 209,744 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 19 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 94% of its contemporaries.