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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Oscillatory Bursting as a Mechanism for Temporal Coupling and Information Coding
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, September 2020
|
| DOI | 10.3389/fncom.2020.00082 |
| Pubmed ID | |
| Authors |
Idan Tal, Samuel Neymotin, Stephan Bickel, Peter Lakatos, Charles E. Schroeder |
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 % |
|---|---|---|
| France | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 27% |
| Researcher | 13 | 20% |
| Student > Doctoral Student | 5 | 8% |
| Student > Postgraduate | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 5 | 8% |
| Unknown | 16 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 21 | 33% |
| Engineering | 9 | 14% |
| Psychology | 5 | 8% |
| Computer Science | 3 | 5% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 20 | 31% |
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 01 June 2021.
All research outputs
#8,515,771
of 25,389,116 outputs
Outputs from Frontiers in Computational Neuroscience
#452
of 1,457 outputs
Outputs of similar age
#168,836
of 411,175 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#13
of 27 outputs
Altmetric has tracked 25,389,116 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 1,457 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 67% 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 411,175 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 54% of its contemporaries.
We're also able to compare this research output to 27 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 55% of its contemporaries.