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Using photonic reservoirs as preprocessors for deep neural networks

Overview of attention for article published in Frontiers in Physics, November 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Using photonic reservoirs as preprocessors for deep neural networks
Published in
Frontiers in Physics, November 2022
DOI 10.3389/fphy.2022.1051941
Authors

Ian Bauwens, Guy Van der Sande, Peter Bienstman, Guy Verschaffelt

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Professor 2 15%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Unknown 5 38%
Readers by discipline Count As %
Engineering 5 38%
Physics and Astronomy 2 15%
Materials Science 1 8%
Unknown 5 38%
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 29 January 2023.
All research outputs
#14,490,007
of 23,223,705 outputs
Outputs from Frontiers in Physics
#532
of 3,660 outputs
Outputs of similar age
#200,261
of 441,133 outputs
Outputs of similar age from Frontiers in Physics
#17
of 391 outputs
Altmetric has tracked 23,223,705 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 3,660 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 83% 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 441,133 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 51% of its contemporaries.
We're also able to compare this research output to 391 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.