| Title |
Review of the methods of determination of directed connectivity from multichannel data
|
|---|---|
| Published in |
Medical & Biological Engineering & Computing, February 2011
|
| DOI | 10.1007/s11517-011-0739-x |
| Pubmed ID | |
| Authors |
Katarzyna J. Blinowska |
| Abstract |
The methods applied for estimation of functional connectivity from multichannel data are described with special emphasis on the estimators of directedness such as directed transfer function (DTF) and partial directed coherence. These estimators based on multivariate autoregressive model are free of pitfalls connected with application of bivariate measures. The examples of applications illustrating the performance of the methods are given. Time-varying estimators of directedness: short-time DTF and adaptive methods are presented. |
Mendeley readers
The data shown below were compiled from readership statistics for 348 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| Canada | 3 | <1% |
| Italy | 2 | <1% |
| Norway | 1 | <1% |
| Cuba | 1 | <1% |
| Taiwan | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 333 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 92 | 26% |
| Researcher | 62 | 18% |
| Student > Master | 50 | 14% |
| Student > Doctoral Student | 17 | 5% |
| Student > Bachelor | 15 | 4% |
| Other | 61 | 18% |
| Unknown | 51 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 99 | 28% |
| Neuroscience | 53 | 15% |
| Medicine and Dentistry | 24 | 7% |
| Computer Science | 24 | 7% |
| Agricultural and Biological Sciences | 19 | 5% |
| Other | 45 | 13% |
| Unknown | 84 | 24% |
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 19 April 2013.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Medical & Biological Engineering & Computing
#547
of 2,053 outputs
Outputs of similar age
#59,369
of 194,460 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#4
of 12 outputs
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So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 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.