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Poisoning medical knowledge using large language models

Overview of attention for article published in Nature Machine Intelligence, September 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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
81 X users

Citations

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1 Dimensions
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Title
Poisoning medical knowledge using large language models
Published in
Nature Machine Intelligence, September 2024
DOI 10.1038/s42256-024-00899-3
Authors

Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 81 X users who shared this research output. Click here to find out more about how the information was compiled.
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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 21 October 2024.
All research outputs
#695,883
of 26,814,701 outputs
Outputs from Nature Machine Intelligence
#211
of 856 outputs
Outputs of similar age
#6,880
of 235,655 outputs
Outputs of similar age from Nature Machine Intelligence
#5
of 34 outputs
Altmetric has tracked 26,814,701 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 856 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.3. This one has done well, scoring higher than 75% 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 235,655 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 97% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.