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Mendeley readers
Attention Score in Context
| Title |
Studentized continuous wavelet transform (t-CWT) in the analysis of individual ERPs: real and simulated EEG data
|
|---|---|
| Published in |
Frontiers in Neuroscience, September 2014
|
| DOI | 10.3389/fnins.2014.00279 |
| Pubmed ID | |
| Authors |
Ruben G. L. Real, Boris Kotchoubey, Andrea Kübler |
| Abstract |
This study aimed at evaluating the performance of the Studentized Continuous Wavelet Transform (t-CWT) as a method for the extraction and assessment of event-related brain potentials (ERP) in data from a single subject. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of the t-CWT were assessed and compared to a variety of competing procedures using simulated EEG data at six low signal-to-noise ratios. Results show that the t-CWT combines high sensitivity and specificity with favorable PPV and NPV. Applying the t-CWT to authentic EEG data obtained from 14 healthy participants confirmed its high sensitivity. The t-CWT may thus be well suited for the assessment of weak ERPs in single-subject settings. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 20% |
| Student > Bachelor | 4 | 16% |
| Student > Master | 4 | 16% |
| Student > Postgraduate | 3 | 12% |
| Other | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 24% |
| Agricultural and Biological Sciences | 3 | 12% |
| Psychology | 2 | 8% |
| Chemical Engineering | 2 | 8% |
| Neuroscience | 2 | 8% |
| Other | 5 | 20% |
| Unknown | 5 | 20% |
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 10 September 2014.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#10,137
of 11,541 outputs
Outputs of similar age
#214,641
of 250,376 outputs
Outputs of similar age from Frontiers in Neuroscience
#110
of 115 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 1st percentile – i.e., 1% 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 250,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.