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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Multi-domain encoder–decoder neural networks for latent data assimilation in dynamical systems
|
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Published in |
Computer Methods in Applied Mechanics & Engineering, October 2024
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DOI | 10.1016/j.cma.2024.117201 |
Authors |
Sibo Cheng, Yilin Zhuang, Lyes Kahouadji, Che Liu, Jianhua Chen, Omar K. Matar, Rossella Arcucci |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 63% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Postgraduate | 1 | 50% |
Unknown | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 1 | 50% |
Unknown | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 10 July 2024.
All research outputs
#7,555,765
of 26,522,299 outputs
Outputs from Computer Methods in Applied Mechanics & Engineering
#216
of 1,884 outputs
Outputs of similar age
#6,334
of 20,909 outputs
Outputs of similar age from Computer Methods in Applied Mechanics & Engineering
#2
of 20 outputs
Altmetric has tracked 26,522,299 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,884 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 88% 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 20,909 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 70% of its contemporaries.
We're also able to compare this research output to 20 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 90% of its contemporaries.