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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Curiosity-Based Learning Method for Spiking Neural Networks
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, February 2020
|
| DOI | 10.3389/fncom.2020.00007 |
| Pubmed ID | |
| Authors |
Mengting Shi, Tielin Zhang, Yi Zeng |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 17% |
| El Salvador | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 21% |
| Student > Ph. D. Student | 6 | 13% |
| Researcher | 4 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 4 | 9% |
| Unknown | 17 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 21% |
| Neuroscience | 8 | 17% |
| Engineering | 4 | 9% |
| Mathematics | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 17 | 36% |
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 29 June 2023.
All research outputs
#7,893,935
of 25,364,936 outputs
Outputs from Frontiers in Computational Neuroscience
#398
of 1,463 outputs
Outputs of similar age
#161,557
of 468,658 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#20
of 35 outputs
Altmetric has tracked 25,364,936 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,463 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 71% 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 468,658 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 65% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.