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Attention Score in Context
Title |
Large-scale deep reinforcement learning method for energy management of power supply units considering regulation mileage payment
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Published in |
Frontiers in Energy Research, March 2024
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DOI | 10.3389/fenrg.2023.1333827 |
Authors |
Ting Qian, Cheng Yang |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
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 16 March 2024.
All research outputs
#23,913,016
of 26,617,554 outputs
Outputs from Frontiers in Energy Research
#2,007
of 4,937 outputs
Outputs of similar age
#298,720
of 358,738 outputs
Outputs of similar age from Frontiers in Energy Research
#107
of 214 outputs
Altmetric has tracked 26,617,554 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,937 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 1st percentile – i.e., 1% 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 358,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 214 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.