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 |
Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks
|
|---|---|
| Published in |
Frontiers in Neuroscience, March 2022
|
| DOI | 10.3389/fnins.2022.819063 |
| Pubmed ID | |
| Authors |
Alberto Patiño-Saucedo, Horacio Rostro-González, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Italy | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
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 | 2 | 11% |
| Professor | 1 | 5% |
| Lecturer | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 11 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 21% |
| Computer Science | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Unknown | 12 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 January 2023.
All research outputs
#14,469,030
of 25,503,365 outputs
Outputs from Frontiers in Neuroscience
#5,717
of 11,589 outputs
Outputs of similar age
#187,480
of 450,125 outputs
Outputs of similar age from Frontiers in Neuroscience
#173
of 423 outputs
Altmetric has tracked 25,503,365 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,589 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 gotten more attention than average, scoring higher than 50% 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 450,125 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 58% of its contemporaries.
We're also able to compare this research output to 423 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 59% of its contemporaries.