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X Demographics
Mendeley readers
Attention Score in Context
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
The data shown below were collected from the profiles of 59 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 12% |
United Kingdom | 5 | 8% |
Germany | 5 | 8% |
Australia | 4 | 7% |
Switzerland | 3 | 5% |
Turkey | 2 | 3% |
Ireland | 2 | 3% |
Singapore | 2 | 3% |
France | 1 | 2% |
Other | 7 | 12% |
Unknown | 21 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 36 | 61% |
Scientists | 19 | 32% |
Science communicators (journalists, bloggers, editors) | 3 | 5% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 9 | 24% |
Student > Ph. D. Student | 5 | 13% |
Researcher | 5 | 13% |
Lecturer | 2 | 5% |
Lecturer > Senior Lecturer | 1 | 3% |
Other | 1 | 3% |
Unknown | 15 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 9 | 24% |
Computer Science | 5 | 13% |
Business, Management and Accounting | 3 | 8% |
Philosophy | 2 | 5% |
Engineering | 1 | 3% |
Other | 1 | 3% |
Unknown | 17 | 45% |
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
#437,602
of 25,800,372 outputs
Outputs from Nature Machine Intelligence
#127
of 780 outputs
Outputs of similar age
#9,921
of 410,688 outputs
Outputs of similar age from Nature Machine Intelligence
#4
of 46 outputs
Altmetric has tracked 25,800,372 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 780 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 410,688 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.