↓ Skip to main content

ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health

Overview of attention for article published in Frontiers in Public Health, April 2023
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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
2 news outlets
blogs
3 blogs
policy
1 policy source
twitter
8 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
175 Dimensions

Readers on

mendeley
257 Mendeley
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
ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health
Published in
Frontiers in Public Health, April 2023
DOI 10.3389/fpubh.2023.1166120
Pubmed ID
Authors

Luigi De Angelis, Francesco Baglivo, Guglielmo Arzilli, Gaetano Pierpaolo Privitera, Paolo Ferragina, Alberto Eugenio Tozzi, Caterina Rizzo

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 257 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 8%
Lecturer 17 7%
Student > Ph. D. Student 15 6%
Researcher 14 5%
Other 13 5%
Other 48 19%
Unknown 130 51%
Readers by discipline Count As %
Computer Science 31 12%
Medicine and Dentistry 19 7%
Business, Management and Accounting 13 5%
Unspecified 12 5%
Social Sciences 11 4%
Other 40 16%
Unknown 131 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 17 April 2024.
All research outputs
#859,078
of 26,109,760 outputs
Outputs from Frontiers in Public Health
#459
of 14,561 outputs
Outputs of similar age
#18,306
of 418,020 outputs
Outputs of similar age from Frontiers in Public Health
#18
of 883 outputs
Altmetric has tracked 26,109,760 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,561 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 96% 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 418,020 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 95% of its contemporaries.
We're also able to compare this research output to 883 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 97% of its contemporaries.