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X Demographics
Mendeley readers
Attention Score in Context
Title |
Benchmarking Highly Parallel Hardware for Spiking Neural Networks in Robotics
|
---|---|
Published in |
Frontiers in Neuroscience, June 2021
|
DOI | 10.3389/fnins.2021.667011 |
Pubmed ID | |
Authors |
Lea Steffen, Robin Koch, Stefan Ulbrich, Sven Nitzsche, Arne Roennau, Rüdiger Dillmann |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Taiwan | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 22% |
Researcher | 4 | 17% |
Professor | 2 | 9% |
Lecturer | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 2 | 9% |
Unknown | 8 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 22% |
Computer Science | 5 | 22% |
Neuroscience | 4 | 17% |
Business, Management and Accounting | 1 | 4% |
Physics and Astronomy | 1 | 4% |
Other | 0 | 0% |
Unknown | 7 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 04 October 2021.
All research outputs
#3,199,906
of 26,557,909 outputs
Outputs from Frontiers in Neuroscience
#2,073
of 11,938 outputs
Outputs of similar age
#72,615
of 459,452 outputs
Outputs of similar age from Frontiers in Neuroscience
#47
of 405 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,938 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 well, scoring higher than 82% 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 459,452 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 405 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.