The data shown below were collected from the profiles of 327 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Testing theory of mind in large language models and humans
|
|---|---|
| Published in |
Nature Human Behaviour, May 2024
|
| DOI | 10.1038/s41562-024-01882-z |
| Pubmed ID | |
| Authors |
James W. A. Strachan, Dalila Albergo, Giulia Borghini, Oriana Pansardi, Eugenio Scaliti, Saurabh Gupta, Krati Saxena, Alessandro Rufo, Stefano Panzeri, Guido Manzi, Michael S. A. Graziano, Cristina Becchio |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 3% |
| United Kingdom | 4 | 1% |
| Canada | 2 | <1% |
| Brazil | 2 | <1% |
| Switzerland | 2 | <1% |
| Germany | 2 | <1% |
| Sri Lanka | 1 | <1% |
| Singapore | 1 | <1% |
| Antarctica | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 296 | 91% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 250 | 76% |
| Scientists | 58 | 18% |
| Practitioners (doctors, other healthcare professionals) | 12 | 4% |
| Science communicators (journalists, bloggers, editors) | 7 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 13% |
| Researcher | 8 | 13% |
| Professor | 7 | 11% |
| Unspecified | 6 | 10% |
| Professor > Associate Professor | 4 | 6% |
| Other | 13 | 21% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 17% |
| Computer Science | 10 | 16% |
| Unspecified | 6 | 10% |
| Linguistics | 5 | 8% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 20 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 390. 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 July 2024.
All research outputs
#82,604
of 26,377,159 outputs
Outputs from Nature Human Behaviour
#180
of 1,811 outputs
Outputs of similar age
#1,076
of 320,465 outputs
Outputs of similar age from Nature Human Behaviour
#9
of 60 outputs
Altmetric has tracked 26,377,159 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,811 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 160.3. This one has done particularly well, scoring higher than 90% 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 320,465 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 99% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.