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Attention Score in Context
| Title |
A novel, jitter-based method for detecting and measuring spike synchrony and quantifying temporal firing precision
|
|---|---|
| Published in |
Neural Systems & Circuits, May 2012
|
| DOI | 10.1186/2042-1001-2-5 |
| Pubmed ID | |
| Authors |
Ariel Agmon |
| Abstract |
Precise spike synchrony, at the millisecond or even sub-millisecond time scale, has been reported in different brain areas, but its neurobiological meaning and its underlying mechanisms remain unknown or controversial. Studying these questions is complicated by the lack of a validated, well-normalized and robust index for quantifying synchrony. Previously used measures of synchrony are often improperly normalized and thereby are not comparable between different experimental conditions, are sensitive to variations in firing rate or to the firing rate differential between the two neurons, and/or rely on untenable assumptions of firing rate stationarity and Poisson statistics. I describe here a novel measure, the Jitter-Based Synchrony Index (JBSI), that overcomes these issues. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Sweden | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 57 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 33% |
| Researcher | 10 | 17% |
| Professor | 4 | 7% |
| Professor > Associate Professor | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 30% |
| Neuroscience | 18 | 30% |
| Engineering | 6 | 10% |
| Medicine and Dentistry | 3 | 5% |
| Physics and Astronomy | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 11 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 May 2012.
All research outputs
#18,305,773
of 22,664,644 outputs
Outputs from Neural Systems & Circuits
#16
of 20 outputs
Outputs of similar age
#126,211
of 163,461 outputs
Outputs of similar age from Neural Systems & Circuits
#2
of 2 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one scored the same or higher as 4 of them.
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 163,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.