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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow
|
|---|---|
| Published in |
Frontiers in Applied Mathematics and Statistics, August 2021
|
| DOI | 10.3389/fams.2021.689934 |
| Authors |
Yusuf Nasir, Jincong He, Chaoshun Hu, Shusei Tanaka, Kainan Wang, XianHuan Wen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 20% |
| Student > Master | 3 | 12% |
| Other | 2 | 8% |
| Researcher | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 4 | 16% |
| Unknown | 8 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 20% |
| Earth and Planetary Sciences | 4 | 16% |
| Energy | 3 | 12% |
| Unspecified | 2 | 8% |
| Engineering | 2 | 8% |
| Other | 0 | 0% |
| Unknown | 9 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 January 2023.
All research outputs
#14,399,152
of 25,387,668 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#64
of 390 outputs
Outputs of similar age
#187,792
of 439,760 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#6
of 16 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 390 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 82% 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 439,760 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 56% of its contemporaries.
We're also able to compare this research output to 16 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 62% of its contemporaries.