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X Demographics
Mendeley readers
Attention Score in Context
Title |
A non‐linear non‐intrusive reduced order model of fluid flow by auto‐encoder and self‐attention deep learning methods
|
---|---|
Published in |
International Journal for Numerical Methods in Engineering, April 2023
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DOI | 10.1002/nme.7240 |
Authors |
R. Fu, D. Xiao, I.M. Navon, F. Fang, L. Yang, C. Wang, S. Cheng |
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 Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 1 | 33% |
Unknown | 2 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 1 | 33% |
Unknown | 2 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 April 2023.
All research outputs
#14,681,673
of 23,515,785 outputs
Outputs from International Journal for Numerical Methods in Engineering
#497
of 927 outputs
Outputs of similar age
#112,227
of 241,335 outputs
Outputs of similar age from International Journal for Numerical Methods in Engineering
#1
of 1 outputs
Altmetric has tracked 23,515,785 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 927 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 44th percentile – i.e., 44% 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 241,335 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 50% of its contemporaries.
We're also able to compare this research output to 1 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