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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation
|
|---|---|
| Chapter number | 8 |
| Book title |
High Performance Computing
|
| Published in |
arXiv, October 2020
|
| DOI | 10.1007/978-3-030-59851-8_8 |
| Book ISBNs |
978-3-03-059850-1, 978-3-03-059851-8
|
| Authors |
Alberto Costa Nogueira, João Lucas de Sousa Almeida, Guillaume Auger, Campbell D. Watson, Alberto Costa Nogueira Jr, Costa Nogueira, Alberto, de Sousa Almeida, João Lucas, Auger, Guillaume, Watson, Campbell D. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Student > Bachelor | 1 | 17% |
| Other | 1 | 17% |
| Student > Master | 1 | 17% |
| Other | 0 | 0% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 33% |
| Unspecified | 1 | 17% |
| Mathematics | 1 | 17% |
| Energy | 1 | 17% |
| Unknown | 1 | 17% |
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 22 March 2021.
All research outputs
#18,761,080
of 23,253,955 outputs
Outputs from arXiv
#545,263
of 958,527 outputs
Outputs of similar age
#314,455
of 419,536 outputs
Outputs of similar age from arXiv
#18,725
of 34,673 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 958,527 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% 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 419,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34,673 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.