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Editorial: Neuromorphic Memristive Computation: Where Memristor-Based Designs Meet Artificial Intelligence Applications

Overview of attention for article published in Frontiers in Physics, January 2022
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  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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Citations

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Title
Editorial: Neuromorphic Memristive Computation: Where Memristor-Based Designs Meet Artificial Intelligence Applications
Published in
Frontiers in Physics, January 2022
DOI 10.3389/fphy.2021.831013
Authors

Viet-Thanh Pham, Christos Volos, Sajad Jafari, Ahmed A. Abd El-Latif

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Physics and Astronomy 1 50%
Unknown 1 50%
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 17 January 2022.
All research outputs
#14,867,424
of 22,896,955 outputs
Outputs from Frontiers in Physics
#609
of 3,493 outputs
Outputs of similar age
#260,449
of 501,851 outputs
Outputs of similar age from Frontiers in Physics
#34
of 250 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,493 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 79% 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 501,851 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.