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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Synthetic Lagrangian turbulence by generative diffusion models
|
|---|---|
| Published in |
Nature Machine Intelligence, April 2024
|
| DOI | 10.1038/s42256-024-00810-0 |
| Authors |
T. Li, L. Biferale, F. Bonaccorso, M. A. Scarpolini, M. Buzzicotti |
X Demographics
The data shown below were collected from the profiles of 23 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 Kingdom | 2 | 9% |
| Italy | 2 | 9% |
| India | 1 | 4% |
| Israel | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 16 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 52% |
| Scientists | 10 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 19% |
| Student > Doctoral Student | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Researcher | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 25% |
| Computer Science | 1 | 6% |
| Mathematics | 1 | 6% |
| Social Sciences | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 22 May 2024.
All research outputs
#2,403,145
of 25,990,612 outputs
Outputs from Nature Machine Intelligence
#462
of 791 outputs
Outputs of similar age
#27,821
of 288,812 outputs
Outputs of similar age from Nature Machine Intelligence
#20
of 36 outputs
Altmetric has tracked 25,990,612 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 791 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 67.8. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 288,812 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 90% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.