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Attention Score in Context
Title |
Artificial neural networks for predicting the performance of heat pumps with horizontal ground heat exchangers
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Published in |
Frontiers in Energy Research, June 2024
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DOI | 10.3389/fenrg.2024.1423695 |
Authors |
Yu Zhou, Guillermo Narsilio, Nikolas Makasis, Kenichi Soga, Peng Chen, Lu Aye |
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 12 June 2024.
All research outputs
#21,273,235
of 26,126,599 outputs
Outputs from Frontiers in Energy Research
#949
of 4,760 outputs
Outputs of similar age
#101,641
of 153,022 outputs
Outputs of similar age from Frontiers in Energy Research
#12
of 42 outputs
Altmetric has tracked 26,126,599 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,760 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 64% 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 153,022 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.