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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics
|
|---|---|
| Published in |
Nature Machine Intelligence, March 2024
|
| DOI | 10.1038/s42256-024-00809-7 |
| Authors |
Kyle Swanson, Gary Liu, Denise B. Catacutan, Autumn Arnold, James Zou, Jonathan M. Stokes |
X Demographics
The data shown below were collected from the profiles of 421 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 | 75 | 18% |
| United Kingdom | 15 | 4% |
| Canada | 14 | 3% |
| France | 11 | 3% |
| Saudi Arabia | 7 | 2% |
| India | 6 | 1% |
| Germany | 6 | 1% |
| Spain | 6 | 1% |
| Japan | 5 | 1% |
| Other | 61 | 14% |
| Unknown | 215 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 276 | 66% |
| Scientists | 110 | 26% |
| Practitioners (doctors, other healthcare professionals) | 21 | 5% |
| Science communicators (journalists, bloggers, editors) | 14 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 23% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 8 | 17% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 7 | 15% |
| Computer Science | 7 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Agricultural and Biological Sciences | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 17 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 507. 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 07 May 2024.
All research outputs
#51,904
of 25,884,216 outputs
Outputs from Nature Machine Intelligence
#15
of 784 outputs
Outputs of similar age
#727
of 323,471 outputs
Outputs of similar age from Nature Machine Intelligence
#2
of 41 outputs
Altmetric has tracked 25,884,216 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 784 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.7. This one has done particularly well, scoring higher than 98% 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 323,471 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 41 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 95% of its contemporaries.