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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Backpropagation With Sparsity Regularization for Spiking Neural Network Learning
|
|---|---|
| Published in |
Frontiers in Neuroscience, April 2022
|
| DOI | 10.3389/fnins.2022.760298 |
| Pubmed ID | |
| Authors |
Yulong Yan, Haoming Chu, Yi Jin, Yuxiang Huan, Zhuo Zou, Lirong Zheng |
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 % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 20% |
| Student > Bachelor | 2 | 13% |
| Other | 1 | 7% |
| Student > Master | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 20% |
| Engineering | 3 | 20% |
| Neuroscience | 1 | 7% |
| Economics, Econometrics and Finance | 1 | 7% |
| Unknown | 7 | 47% |
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 28 April 2022.
All research outputs
#17,466,364
of 25,622,179 outputs
Outputs from Frontiers in Neuroscience
#8,139
of 11,639 outputs
Outputs of similar age
#269,829
of 448,298 outputs
Outputs of similar age from Frontiers in Neuroscience
#259
of 434 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 24th percentile – i.e., 24% 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 448,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 434 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.