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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
A Machine Learning-Based Model Predictive Control Method for Pumped Storage Systems
|
---|---|
Published in |
Frontiers in Energy Research, November 2021
|
DOI | 10.3389/fenrg.2021.757507 |
Authors |
Qingsen Cai, Xingqi Luo, Chunyang Gao, Pengcheng Guo, Shuaihui Sun, Sina Yan, Peiyu Zhao |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 20% |
India | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 26% |
Student > Ph. D. Student | 3 | 16% |
Student > Bachelor | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 1 | 5% |
Other | 2 | 11% |
Unknown | 6 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 32% |
Energy | 3 | 16% |
Business, Management and Accounting | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Chemical Engineering | 1 | 5% |
Other | 0 | 0% |
Unknown | 7 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 08 November 2021.
All research outputs
#14,555,398
of 23,310,485 outputs
Outputs from Frontiers in Energy Research
#379
of 3,446 outputs
Outputs of similar age
#215,671
of 439,320 outputs
Outputs of similar age from Frontiers in Energy Research
#33
of 339 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,446 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 87% 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 439,320 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 339 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.