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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks
|
---|---|
Published in |
Frontiers in Computational Neuroscience, April 2021
|
DOI | 10.3389/fncom.2021.627567 |
Pubmed ID | |
Authors |
Paolo G. Cachi, Sebastián Ventura, Krzysztof J. Cios |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 25% |
Germany | 1 | 25% |
Spain | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 50% |
Student > Bachelor | 1 | 10% |
Researcher | 1 | 10% |
Unknown | 3 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 30% |
Neuroscience | 2 | 20% |
Materials Science | 1 | 10% |
Engineering | 1 | 10% |
Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 May 2021.
All research outputs
#13,502,020
of 23,292,144 outputs
Outputs from Frontiers in Computational Neuroscience
#533
of 1,370 outputs
Outputs of similar age
#197,404
of 434,371 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#12
of 29 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,370 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 gotten more attention than average, scoring higher than 59% 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 434,371 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 53% of its contemporaries.
We're also able to compare this research output to 29 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 58% of its contemporaries.