The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Factuality challenges in the era of large language models and opportunities for fact-checking
|
---|---|
Published in |
Nature Machine Intelligence, August 2024
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DOI | 10.1038/s42256-024-00881-z |
Authors |
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Halevy, Eduard Hovy, Heng Ji, Filippo Menczer, Ruben Miguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 24% |
Hong Kong | 2 | 10% |
Korea, Republic of | 2 | 10% |
India | 1 | 5% |
Nepal | 1 | 5% |
Norway | 1 | 5% |
France | 1 | 5% |
United Kingdom | 1 | 5% |
Unknown | 7 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 57% |
Scientists | 9 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 40% |
Student > Ph. D. Student | 1 | 20% |
Professor > Associate Professor | 1 | 20% |
Student > Doctoral Student | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 40% |
Unspecified | 1 | 20% |
Agricultural and Biological Sciences | 1 | 20% |
Neuroscience | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 04 September 2024.
All research outputs
#2,616,455
of 26,579,895 outputs
Outputs from Nature Machine Intelligence
#496
of 834 outputs
Outputs of similar age
#16,880
of 176,184 outputs
Outputs of similar age from Nature Machine Intelligence
#10
of 24 outputs
Altmetric has tracked 26,579,895 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 834 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.2. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 176,184 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 90% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.