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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems
|
---|---|
Published in |
Journal of Computational Physics, March 2023
|
DOI | 10.1016/j.jcp.2023.111918 |
Authors |
Ashesh Chattopadhyay, Ebrahim Nabizadeh, Eviatar Bach, Pedram Hassanzadeh |
X Demographics
The data shown below were collected from the profiles of 13 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 | 5 | 38% |
United Kingdom | 1 | 8% |
Mexico | 1 | 8% |
Unknown | 6 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 46% |
Scientists | 6 | 46% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 29% |
Student > Ph. D. Student | 5 | 24% |
Lecturer | 2 | 10% |
Student > Doctoral Student | 2 | 10% |
Student > Bachelor | 1 | 5% |
Other | 2 | 10% |
Unknown | 3 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Earth and Planetary Sciences | 7 | 33% |
Engineering | 6 | 29% |
Environmental Science | 1 | 5% |
Physics and Astronomy | 1 | 5% |
Mathematics | 1 | 5% |
Other | 2 | 10% |
Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 12 January 2023.
All research outputs
#4,155,228
of 25,392,582 outputs
Outputs from Journal of Computational Physics
#116
of 5,758 outputs
Outputs of similar age
#76,338
of 422,415 outputs
Outputs of similar age from Journal of Computational Physics
#3
of 111 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,758 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done particularly well, scoring higher than 98% 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 422,415 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 111 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 97% of its contemporaries.