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Generative AI entails a credit–blame asymmetry

Overview of attention for article published in Nature Machine Intelligence, May 2023
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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 (91st percentile)

Mentioned by

news
8 news outlets
blogs
1 blog
twitter
58 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Generative AI entails a credit–blame asymmetry
Published in
Nature Machine Intelligence, May 2023
DOI 10.1038/s42256-023-00653-1
Authors

Sebastian Porsdam Mann, Brian D. Earp, Sven Nyholm, John Danaher, Nikolaj Møller, Hilary Bowman-Smart, Joshua Hatherley, Julian Koplin, Monika Plozza, Daniel Rodger, Peter V. Treit, Gregory Renard, John McMillan, Julian Savulescu

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Unspecified 3 11%
Lecturer 2 7%
Lecturer > Senior Lecturer 1 4%
Researcher 1 4%
Other 1 4%
Unknown 14 52%
Readers by discipline Count As %
Unspecified 3 11%
Business, Management and Accounting 3 11%
Philosophy 2 7%
Computer Science 1 4%
Engineering 1 4%
Other 1 4%
Unknown 16 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 99. 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 10 November 2023.
All research outputs
#433,257
of 25,579,912 outputs
Outputs from Nature Machine Intelligence
#127
of 766 outputs
Outputs of similar age
#9,857
of 408,028 outputs
Outputs of similar age from Nature Machine Intelligence
#5
of 46 outputs
Altmetric has tracked 25,579,912 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 766 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.0. This one has done well, scoring higher than 83% 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 408,028 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 46 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 91% of its contemporaries.