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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Augmenting large language models with chemistry tools
|
|---|---|
| Published in |
Nature Machine Intelligence, May 2024
|
| DOI | 10.1038/s42256-024-00832-8 |
| Authors |
Andres M. Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D. White, Philippe Schwaller |
X Demographics
The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 8 | 18% |
| United States | 7 | 16% |
| Canada | 2 | 4% |
| Germany | 2 | 4% |
| Japan | 1 | 2% |
| Peru | 1 | 2% |
| India | 1 | 2% |
| France | 1 | 2% |
| Comoros | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 20 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 26 | 58% |
| Members of the public | 18 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 256 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 53 | 21% |
| Student > Ph. D. Student | 33 | 13% |
| Unspecified | 20 | 8% |
| Student > Master | 16 | 6% |
| Other | 12 | 5% |
| Other | 34 | 13% |
| Unknown | 88 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 42 | 16% |
| Chemistry | 35 | 14% |
| Unspecified | 23 | 9% |
| Engineering | 16 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 3% |
| Other | 44 | 17% |
| Unknown | 89 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 154. 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 24 May 2024.
All research outputs
#275,704
of 25,972,223 outputs
Outputs from Nature Machine Intelligence
#77
of 790 outputs
Outputs of similar age
#2,357
of 201,949 outputs
Outputs of similar age from Nature Machine Intelligence
#2
of 23 outputs
Altmetric has tracked 25,972,223 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 790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.3. 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 201,949 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 23 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.