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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A New Spiking Convolutional Recurrent Neural Network (SCRNN) With Applications to Event-Based Hand Gesture Recognition
|
|---|---|
| Published in |
Frontiers in Neuroscience, November 2020
|
| DOI | 10.3389/fnins.2020.590164 |
| Pubmed ID | |
| Authors |
Yannan Xing, Gaetano Di Caterina, John Soraghan |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Student > Master | 7 | 13% |
| Student > Doctoral Student | 3 | 5% |
| Student > Bachelor | 2 | 4% |
| Professor > Associate Professor | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 26 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 27% |
| Computer Science | 12 | 22% |
| Neuroscience | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 24 | 44% |
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 03 August 2023.
All research outputs
#2,378,722
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#1,411
of 11,543 outputs
Outputs of similar age
#62,951
of 515,423 outputs
Outputs of similar age from Frontiers in Neuroscience
#93
of 330 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 87% 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 515,423 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 87% of its contemporaries.
We're also able to compare this research output to 330 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 71% of its contemporaries.