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X Demographics
Mendeley readers
Attention Score in Context
Title |
Gradient Decomposition Methods for Training Neural Networks With Non-ideal Synaptic Devices
|
---|---|
Published in |
Frontiers in Neuroscience, November 2021
|
DOI | 10.3389/fnins.2021.749811 |
Pubmed ID | |
Authors |
Junyun Zhao, Siyuan Huang, Osama Yousuf, Yutong Gao, Brian D. Hoskins, Gina C. Adam |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 11% |
India | 4 | 9% |
Canada | 2 | 4% |
Brazil | 2 | 4% |
Switzerland | 1 | 2% |
Cameroon | 1 | 2% |
Ethiopia | 1 | 2% |
Belgium | 1 | 2% |
Taiwan | 1 | 2% |
Other | 5 | 11% |
Unknown | 22 | 49% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 42 | 93% |
Scientists | 3 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 22% |
Researcher | 2 | 22% |
Student > Master | 1 | 11% |
Unknown | 4 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 22% |
Engineering | 2 | 22% |
Materials Science | 1 | 11% |
Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 24 November 2023.
All research outputs
#1,679,534
of 25,964,892 outputs
Outputs from Frontiers in Neuroscience
#828
of 11,738 outputs
Outputs of similar age
#39,827
of 523,585 outputs
Outputs of similar age from Frontiers in Neuroscience
#21
of 382 outputs
Altmetric has tracked 25,964,892 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 92% 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 523,585 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 92% of its contemporaries.
We're also able to compare this research output to 382 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.