Title |
Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review
|
---|---|
Published in |
The Journal of Mathematical Neuroscience, May 2020
|
DOI | 10.1186/s13408-020-00086-9 |
Pubmed ID | |
Authors |
Christian Bick, Marc Goodfellow, Carlo R. Laing, Erik A. Martens |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 25% |
United Kingdom | 5 | 18% |
Denmark | 1 | 4% |
Belgium | 1 | 4% |
Turkey | 1 | 4% |
Germany | 1 | 4% |
Netherlands | 1 | 4% |
Spain | 1 | 4% |
France | 1 | 4% |
Other | 0 | 0% |
Unknown | 9 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 17 | 61% |
Members of the public | 10 | 36% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 183 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 40 | 22% |
Researcher | 35 | 19% |
Student > Master | 20 | 11% |
Student > Bachelor | 14 | 8% |
Professor > Associate Professor | 11 | 6% |
Other | 28 | 15% |
Unknown | 35 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 28 | 15% |
Neuroscience | 23 | 13% |
Mathematics | 22 | 12% |
Engineering | 20 | 11% |
Computer Science | 9 | 5% |
Other | 33 | 18% |
Unknown | 48 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 12 September 2022.
All research outputs
#1,884,171
of 25,008,338 outputs
Outputs from The Journal of Mathematical Neuroscience
#1
of 77 outputs
Outputs of similar age
#49,638
of 400,800 outputs
Outputs of similar age from The Journal of Mathematical Neuroscience
#1
of 3 outputs
Altmetric has tracked 25,008,338 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 77 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 99% 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 400,800 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 87% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them