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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory
|
|---|---|
| Published in |
Frontiers in Neuroscience, April 2022
|
| DOI | 10.3389/fnins.2022.850945 |
| Pubmed ID | |
| Authors |
Shuangming Yang, Tian Gao, Jiang Wang, Bin Deng, Mostafa Rahimi Azghadi, Tao Lei, Bernabe Linares-Barranco |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 19% |
| Student > Master | 2 | 10% |
| Professor | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 14% |
| Engineering | 2 | 10% |
| Neuroscience | 2 | 10% |
| Physics and Astronomy | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2022.
All research outputs
#17,311,456
of 26,189,645 outputs
Outputs from Frontiers in Neuroscience
#7,578
of 11,772 outputs
Outputs of similar age
#256,059
of 452,365 outputs
Outputs of similar age from Frontiers in Neuroscience
#238
of 445 outputs
Altmetric has tracked 26,189,645 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,772 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 452,365 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 445 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.