↓ Skip to main content

A critical assessment of using ChatGPT for extracting structured data from clinical notes

Overview of attention for article published in npj Digital Medicine, May 2024
Altmetric Badge

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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
6 news outlets
blogs
2 blogs
twitter
64 X users
facebook
1 Facebook page
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A critical assessment of using ChatGPT for extracting structured data from clinical notes
Published in
npj Digital Medicine, May 2024
DOI 10.1038/s41746-024-01079-8
Pubmed ID
Authors

Jingwei Huang, Donghan M. Yang, Ruichen Rong, Kuroush Nezafati, Colin Treager, Zhikai Chi, Shidan Wang, Xian Cheng, Yujia Guo, Laura J. Klesse, Guanghua Xiao, Eric D. Peterson, Xiaowei Zhan, Yang Xie

X Demographics

X Demographics

The data shown below were collected from the profiles of 64 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 87. 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 May 2024.
All research outputs
#504,603
of 25,941,588 outputs
Outputs from npj Digital Medicine
#166
of 1,064 outputs
Outputs of similar age
#4,684
of 213,497 outputs
Outputs of similar age from npj Digital Medicine
#4
of 62 outputs
Altmetric has tracked 25,941,588 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 1,064 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 54.6. This one has done well, scoring higher than 84% 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 213,497 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 98% of its contemporaries.
We're also able to compare this research output to 62 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.