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X Demographics
Mendeley readers
Attention Score in Context
Title |
Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update
|
---|---|
Published in |
Frontiers in Computational Neuroscience, March 2021
|
DOI | 10.3389/fncom.2021.646125 |
Pubmed ID | |
Authors |
Taeyoon Kim, Suman Hu, Jaewook Kim, Joon Young Kwak, Jongkil Park, Suyoun Lee, Inho Kim, Jong-Keuk Park, YeonJoo Jeong |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 65 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 20% |
Student > Master | 8 | 12% |
Student > Bachelor | 6 | 9% |
Student > Doctoral Student | 3 | 5% |
Professor | 2 | 3% |
Other | 5 | 8% |
Unknown | 28 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 19 | 29% |
Physics and Astronomy | 7 | 11% |
Materials Science | 4 | 6% |
Computer Science | 2 | 3% |
Neuroscience | 2 | 3% |
Other | 3 | 5% |
Unknown | 28 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 21 December 2022.
All research outputs
#1,883,932
of 23,392,375 outputs
Outputs from Frontiers in Computational Neuroscience
#70
of 1,375 outputs
Outputs of similar age
#51,349
of 423,435 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 36 outputs
Altmetric has tracked 23,392,375 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,375 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 94% 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 423,435 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 36 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.