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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points
|
|---|---|
| Chapter number | 28 |
| Book title |
Intelligent Systems
|
| Published in |
arXiv, January 2023
|
| DOI | 10.1007/978-3-031-21689-3_28 |
| Book ISBNs |
978-3-03-121688-6, 978-3-03-121689-3
|
| Authors |
Marlon Sproesser Mathias, Wesley Pereira de Almeida, Marcel Rodrigues de Barros, Jefferson Fialho Coelho, Lucas Palmiro de Freitas, Felipe Marino Moreno, Caio Fabricio Deberaldini Netto, Fabio Gagliardi Cozman, Anna Helena Reali Costa, Eduardo Aoun Tannuri, Edson Satoshi Gomi, Marcelo Dottori, Mathias, Marlon S., de Almeida, Wesley P., Coelho, Jefferson F., de Freitas, Lucas P., Moreno, Felipe M., Netto, Caio F. D., Cozman, Fabio G., Reali Costa, Anna Helena, Tannuri, Eduardo A., Gomi, Edson S., Dottori, Marcelo |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 20% |
| Student > Doctoral Student | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 40% |
| Computer Science | 1 | 20% |
| Unknown | 2 | 40% |
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 20 January 2023.
All research outputs
#18,912,355
of 24,093,053 outputs
Outputs from arXiv
#476,986
of 1,018,817 outputs
Outputs of similar age
#299,485
of 436,134 outputs
Outputs of similar age from arXiv
#14,023
of 36,791 outputs
Altmetric has tracked 24,093,053 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 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% 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 436,134 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36,791 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.