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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Super-resolution analysis via machine learning: a survey for fluid flows
|
|---|---|
| Published in |
Theoretical and Computational Fluid Dynamics, June 2023
|
| DOI | 10.1007/s00162-023-00663-0 |
| Authors |
Kai Fukami, Koji Fukagata, Kunihiko Taira |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Unknown | 8 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 12% |
| Lecturer | 4 | 8% |
| Researcher | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 23 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 22% |
| Unspecified | 4 | 8% |
| Computer Science | 2 | 4% |
| Energy | 2 | 4% |
| Physics and Astronomy | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 27 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 17 June 2023.
All research outputs
#5,955,852
of 24,093,053 outputs
Outputs from Theoretical and Computational Fluid Dynamics
#8
of 257 outputs
Outputs of similar age
#70,443
of 280,083 outputs
Outputs of similar age from Theoretical and Computational Fluid Dynamics
#1
of 4 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 257 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done particularly well, scoring higher than 97% 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 280,083 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them