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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Neuro-Inspired System for Online Learning and Recognition of Parallel Spike Trains, Based on Spike Latency, and Heterosynaptic STDP
|
|---|---|
| Published in |
Frontiers in Neuroscience, October 2018
|
| DOI | 10.3389/fnins.2018.00780 |
| Pubmed ID | |
| Authors |
Gianluca Susi, Luis Antón Toro, Leonides Canuet, Maria Eugenia López, Fernando Maestú, Claudio R. Mirasso, Ernesto Pereda |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Researcher | 6 | 15% |
| Student > Master | 6 | 15% |
| Student > Bachelor | 3 | 8% |
| Professor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 20% |
| Engineering | 6 | 15% |
| Psychology | 3 | 8% |
| Physics and Astronomy | 3 | 8% |
| Computer Science | 3 | 8% |
| Other | 4 | 10% |
| Unknown | 13 | 33% |
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 20 August 2021.
All research outputs
#1,694,916
of 26,147,626 outputs
Outputs from Frontiers in Neuroscience
#830
of 11,763 outputs
Outputs of similar age
#35,193
of 366,410 outputs
Outputs of similar age from Frontiers in Neuroscience
#24
of 286 outputs
Altmetric has tracked 26,147,626 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 11,763 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. 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 366,410 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 90% of its contemporaries.
We're also able to compare this research output to 286 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 91% of its contemporaries.