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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neuromorphic Analog Implementation of Neural Engineering Framework-Inspired Spiking Neuron for High-Dimensional Representation
|
|---|---|
| Published in |
Frontiers in Neuroscience, February 2021
|
| DOI | 10.3389/fnins.2021.627221 |
| Pubmed ID | |
| Authors |
Avi Hazan, Elishai Ezra Tsur |
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 | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 21% |
| Student > Ph. D. Student | 3 | 13% |
| Professor | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 9 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 33% |
| Physics and Astronomy | 2 | 8% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Mathematics | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 10 November 2022.
All research outputs
#2,471,734
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#1,499
of 11,543 outputs
Outputs of similar age
#66,062
of 451,594 outputs
Outputs of similar age from Frontiers in Neuroscience
#90
of 439 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 86% 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 451,594 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 85% of its contemporaries.
We're also able to compare this research output to 439 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.