| Title |
Jet mixing optimization using machine learning control
|
|---|---|
| Published in |
Experiments in Fluids, July 2018
|
| DOI | 10.1007/s00348-018-2582-4 |
| Authors |
Zhi Wu, Dewei Fan, Yu Zhou, Ruiying Li, Bernd R. Noack |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 17% |
| Student > Postgraduate | 5 | 9% |
| Student > Master | 5 | 9% |
| Professor | 4 | 8% |
| Researcher | 4 | 8% |
| Other | 8 | 15% |
| Unknown | 18 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 19 | 36% |
| Mathematics | 3 | 6% |
| Physics and Astronomy | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 23 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 31 July 2018.
All research outputs
#18,733,166
of 23,885,338 outputs
Outputs from Experiments in Fluids
#626
of 1,308 outputs
Outputs of similar age
#242,066
of 332,720 outputs
Outputs of similar age from Experiments in Fluids
#2
of 23 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,308 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 50% 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 332,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
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.