The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network From Convolutional Neural Network
|
|---|---|
| Published in |
Frontiers in Neuroscience, May 2022
|
| DOI | 10.3389/fnins.2022.759900 |
| Pubmed ID | |
| Authors |
Dengyu Wu, Xinping Yi, Xiaowei Huang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 14% |
| United States | 1 | 14% |
| Japan | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Unspecified | 2 | 11% |
| Lecturer > Senior Lecturer | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Master | 2 | 11% |
| Other | 2 | 11% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 32% |
| Computer Science | 4 | 21% |
| Unspecified | 2 | 11% |
| Business, Management and Accounting | 1 | 5% |
| Unknown | 6 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 May 2024.
All research outputs
#7,549,105
of 25,911,277 outputs
Outputs from Frontiers in Neuroscience
#4,884
of 11,730 outputs
Outputs of similar age
#141,526
of 447,416 outputs
Outputs of similar age from Frontiers in Neuroscience
#157
of 494 outputs
Altmetric has tracked 25,911,277 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 57% 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 447,416 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 67% of its contemporaries.
We're also able to compare this research output to 494 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 68% of its contemporaries.