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X Demographics
Mendeley readers
Attention Score in Context
Title |
Neuromorphic System Using Memcapacitors and Autonomous Local Learning
|
---|---|
Published in |
IEEE Transactions on Neural Networks and Learning Systems, May 2023
|
DOI | 10.1109/tnnls.2021.3106566 |
Pubmed ID | |
Authors |
Mutsumi Kimura, Yuma Ishisaki, Yuta Miyabe, Homare Yoshida, Isato Ogawa, Tomoharu Yokoyama, Ken-Ichi Haga, Eisuke Tokumitsu, Yasuhiko Nakashima |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 14% |
Student > Ph. D. Student | 2 | 10% |
Professor | 1 | 5% |
Student > Bachelor | 1 | 5% |
Unspecified | 1 | 5% |
Other | 0 | 0% |
Unknown | 13 | 62% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 10% |
Unspecified | 1 | 5% |
Energy | 1 | 5% |
Physics and Astronomy | 1 | 5% |
Materials Science | 1 | 5% |
Other | 1 | 5% |
Unknown | 14 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 September 2021.
All research outputs
#1,277,720
of 25,392,582 outputs
Outputs from IEEE Transactions on Neural Networks and Learning Systems
#17
of 3,395 outputs
Outputs of similar age
#26,425
of 406,504 outputs
Outputs of similar age from IEEE Transactions on Neural Networks and Learning Systems
#1
of 137 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,395 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 99% 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 406,504 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 137 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 99% of its contemporaries.