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Neural network learning using non-ideal resistive memory devices

Overview of attention for article published in Frontiers in Nanotechnology, October 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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4 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Neural network learning using non-ideal resistive memory devices
Published in
Frontiers in Nanotechnology, October 2022
DOI 10.3389/fnano.2022.1008266
Authors

Youngseok Kim, Tayfun Gokmen, Hiroyuki Miyazoe, Paul Solomon, Seyoung Kim, Asit Ray, Jonas Doevenspeck, Raihan S. Khan, Vijay Narayanan, Takashi Ando

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Unknown 2 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 20%
Materials Science 1 20%
Engineering 1 20%
Unknown 2 40%
Attention Score in Context

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 14 March 2023.
All research outputs
#18,311,819
of 23,532,144 outputs
Outputs from Frontiers in Nanotechnology
#126
of 247 outputs
Outputs of similar age
#290,713
of 444,907 outputs
Outputs of similar age from Frontiers in Nanotechnology
#19
of 34 outputs
Altmetric has tracked 23,532,144 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 247 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 38th percentile – i.e., 38% 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 444,907 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.