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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can large language models reason and plan?
|
|---|---|
| Published in |
Annals of the New York Academy of Sciences, March 2024
|
| DOI | 10.1111/nyas.15125 |
| Pubmed ID | |
| Authors |
Subbarao Kambhampati |
X Demographics
The data shown below were collected from the profiles of 202 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 | 44 | 22% |
| Japan | 8 | 4% |
| Spain | 7 | 3% |
| United Kingdom | 7 | 3% |
| Canada | 6 | 3% |
| India | 6 | 3% |
| France | 5 | 2% |
| Germany | 4 | 2% |
| Brazil | 3 | 1% |
| Other | 23 | 11% |
| Unknown | 89 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 154 | 76% |
| Scientists | 38 | 19% |
| Science communicators (journalists, bloggers, editors) | 8 | 4% |
| Practitioners (doctors, other healthcare professionals) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 5 | 23% |
| Student > Ph. D. Student | 5 | 23% |
| Researcher | 4 | 18% |
| Student > Master | 2 | 9% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 36% |
| Unspecified | 5 | 23% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 129. 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 May 2024.
All research outputs
#330,039
of 25,848,962 outputs
Outputs from Annals of the New York Academy of Sciences
#96
of 11,983 outputs
Outputs of similar age
#4,767
of 334,169 outputs
Outputs of similar age from Annals of the New York Academy of Sciences
#2
of 35 outputs
Altmetric has tracked 25,848,962 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 11,983 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 99% 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 334,169 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 35 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 94% of its contemporaries.