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Modelling non-Markovian dynamics in photonic crystals with recurrent neural networks

Overview of attention for article published in Optical Materials Express, June 2021
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Article details
Title
Modelling non-Markovian dynamics in photonic crystals with recurrent neural networks
Published in
Optical Materials Express, June 2021
DOI 10.1364/ome.425263
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Attention Score in Context

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 02 November 2021.
All research outputs
#15,025,659
of 23,310,485 outputs
Outputs from Optical Materials Express
#482
of 826 outputs
Outputs of similar age
#240,278
of 447,171 outputs
Outputs of similar age from Optical Materials Express
#20
of 38 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 826 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 40th percentile – i.e., 40% 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 447,171 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.