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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
A large-scale audit of dataset licensing and attribution in AI
|
---|---|
Published in |
Nature Machine Intelligence, August 2024
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DOI | 10.1038/s42256-024-00878-8 |
Authors |
Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi (Alexis) Wu, Enrico Shippole, Kurt Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Sara Hooker |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 27 | 44% |
India | 3 | 5% |
Australia | 2 | 3% |
Germany | 2 | 3% |
Thailand | 1 | 2% |
France | 1 | 2% |
United Kingdom | 1 | 2% |
Portugal | 1 | 2% |
Canada | 1 | 2% |
Other | 1 | 2% |
Unknown | 22 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 41 | 66% |
Scientists | 19 | 31% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 22% |
Unspecified | 1 | 11% |
Researcher | 1 | 11% |
Student > Postgraduate | 1 | 11% |
Unknown | 4 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 11% |
Social Sciences | 1 | 11% |
Materials Science | 1 | 11% |
Medicine and Dentistry | 1 | 11% |
Unknown | 5 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 116. 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 27 September 2024.
All research outputs
#391,061
of 26,743,793 outputs
Outputs from Nature Machine Intelligence
#112
of 851 outputs
Outputs of similar age
#4,093
of 253,453 outputs
Outputs of similar age from Nature Machine Intelligence
#4
of 37 outputs
Altmetric has tracked 26,743,793 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 851 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.6. This one has done well, scoring higher than 86% 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 253,453 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 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.