| Title |
Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
|
|---|---|
| Published in |
International Journal of Computer Vision, November 2014
|
| DOI | 10.1007/s11263-014-0788-3 |
| Authors |
Yongqiang Cao, Yang Chen, Deepak Khosla |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 531 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| China | 1 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Unknown | 527 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 123 | 23% |
| Student > Master | 106 | 20% |
| Researcher | 41 | 8% |
| Student > Bachelor | 32 | 6% |
| Student > Doctoral Student | 28 | 5% |
| Other | 60 | 11% |
| Unknown | 141 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 168 | 32% |
| Engineering | 130 | 24% |
| Neuroscience | 25 | 5% |
| Agricultural and Biological Sciences | 9 | 2% |
| Physics and Astronomy | 8 | 2% |
| Other | 35 | 7% |
| Unknown | 156 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 May 2023.
All research outputs
#4,173,376
of 22,803,211 outputs
Outputs from International Journal of Computer Vision
#175
of 1,140 outputs
Outputs of similar age
#60,058
of 361,879 outputs
Outputs of similar age from International Journal of Computer Vision
#3
of 8 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,140 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 83% 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 361,879 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 82% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.