The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
|
|---|---|
| Published in |
Frontiers in Neuroscience, March 2020
|
| DOI | 10.3389/fnins.2020.00199 |
| Pubmed ID | |
| Authors |
Jibin Wu, Emre Yılmaz, Malu Zhang, Haizhou Li, Kay Chen Tan |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 15% |
| Student > Ph. D. Student | 18 | 14% |
| Student > Master | 12 | 9% |
| Student > Bachelor | 9 | 7% |
| Student > Doctoral Student | 5 | 4% |
| Other | 14 | 11% |
| Unknown | 54 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 21% |
| Engineering | 24 | 18% |
| Neuroscience | 7 | 5% |
| Psychology | 4 | 3% |
| Linguistics | 2 | 2% |
| Other | 10 | 8% |
| Unknown | 57 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 May 2024.
All research outputs
#4,356,335
of 26,557,909 outputs
Outputs from Frontiers in Neuroscience
#3,516
of 11,938 outputs
Outputs of similar age
#90,954
of 409,422 outputs
Outputs of similar age from Frontiers in Neuroscience
#182
of 341 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 83rd 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 gotten more attention than average, scoring higher than 70% 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 409,422 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 77% of its contemporaries.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.