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Competitive photonic neural networks

Overview of attention for article published in Nature Photonics, April 2021
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
41 Mendeley
Title
Competitive photonic neural networks
Published in
Nature Photonics, April 2021
DOI 10.1038/s41566-021-00803-0
Authors

Daniel Brunner, Demetri Psaltis

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 27%
Student > Ph. D. Student 6 15%
Student > Doctoral Student 4 10%
Professor > Associate Professor 3 7%
Student > Postgraduate 2 5%
Other 7 17%
Unknown 8 20%
Readers by discipline Count As %
Physics and Astronomy 15 37%
Engineering 9 22%
Computer Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 13 32%

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 19 May 2021.
All research outputs
#15,558,130
of 19,404,461 outputs
Outputs from Nature Photonics
#2,064
of 2,274 outputs
Outputs of similar age
#241,260
of 341,831 outputs
Outputs of similar age from Nature Photonics
#35
of 37 outputs
Altmetric has tracked 19,404,461 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one is in the 4th percentile – i.e., 4% 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 341,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.