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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, July 2020
|
| DOI | 10.3389/fncom.2020.00051 |
| Pubmed ID | |
| Authors |
Qian Liang, Yi Zeng, Bo Xu |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 14% |
| Greece | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 23% |
| Researcher | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 15% |
| Psychology | 3 | 12% |
| Neuroscience | 2 | 8% |
| Computer Science | 2 | 8% |
| Philosophy | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 February 2021.
All research outputs
#7,574,205
of 25,121,692 outputs
Outputs from Frontiers in Computational Neuroscience
#368
of 1,442 outputs
Outputs of similar age
#149,478
of 404,767 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#9
of 27 outputs
Altmetric has tracked 25,121,692 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 73% 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 404,767 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.