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Attention Score in Context
| Title |
A Student's Guide to Randomization Statistics for Multichannel Event-Related Potentials Using Ragu
|
|---|---|
| Published in |
Frontiers in Neuroscience, June 2018
|
| DOI | 10.3389/fnins.2018.00355 |
| Pubmed ID | |
| Authors |
Marie Habermann, Dorothea Weusmann, Maria Stein, Thomas Koenig |
| Abstract |
In this paper, we present a multivariate approach to analyze multi-channel event-related potential (ERP) data using randomization statistics. The MATLAB-based open source toolbox Randomization Graphical User interface (Ragu) provides, among other methods, a test for topographic consistency, a topographic analysis of variance, t-mapping and microstate analyses. Up to two within-subject factors and one between-subject factor, each with an open number of levels, can be defined and analyzed in Ragu. Ragu analyses include all sensor signals and no a-priori models have to be applied during the analyses. Additionally, periods of significant effects can be controlled for multiple testing using global overall statistics over time. Here, we introduce the different alternatives to apply Ragu, based on a step by step analysis of an example study. This example study examined the neural activity in response to semantic unexpected sentence endings in exchange students at the beginning of their stay and after staying in a foreign-language country for 5 months. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 18% |
| Researcher | 18 | 18% |
| Student > Master | 14 | 14% |
| Student > Bachelor | 8 | 8% |
| Student > Doctoral Student | 4 | 4% |
| Other | 15 | 15% |
| Unknown | 21 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 22 | 22% |
| Psychology | 21 | 21% |
| Agricultural and Biological Sciences | 6 | 6% |
| Engineering | 5 | 5% |
| Medicine and Dentistry | 4 | 4% |
| Other | 14 | 14% |
| Unknown | 26 | 27% |
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 21 March 2020.
All research outputs
#15,745,807
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#6,691
of 11,542 outputs
Outputs of similar age
#190,521
of 341,602 outputs
Outputs of similar age from Frontiers in Neuroscience
#149
of 225 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,542 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 39th percentile – i.e., 39% 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 341,602 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.