| Title |
Transfer Entropy Estimation and Directional Coupling Change Detection in Biomedical Time Series
|
|---|---|
| Published in |
BioMedical Engineering OnLine, April 2012
|
| DOI | 10.1186/1475-925x-11-19 |
| Pubmed ID | |
| Authors |
Joon Lee, Shamim Nemati, Ikaro Silva, Bradley A Edwards, James P Butler, Atul Malhotra |
| Abstract |
The detection of change in magnitude of directional coupling between two non-linear time series is a common subject of interest in the biomedical domain, including studies involving the respiratory chemoreflex system. Although transfer entropy is a useful tool in this avenue, no study to date has investigated how different transfer entropy estimation methods perform in typical biomedical applications featuring small sample size and presence of outliers. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Mexico | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Indonesia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Finland | 1 | <1% |
| China | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 116 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 33% |
| Researcher | 19 | 15% |
| Student > Master | 13 | 10% |
| Student > Doctoral Student | 8 | 6% |
| Student > Bachelor | 8 | 6% |
| Other | 21 | 17% |
| Unknown | 16 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 37 | 29% |
| Computer Science | 19 | 15% |
| Agricultural and Biological Sciences | 12 | 10% |
| Medicine and Dentistry | 12 | 10% |
| Physics and Astronomy | 7 | 6% |
| Other | 17 | 13% |
| Unknown | 22 | 17% |
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 30 October 2018.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from BioMedical Engineering OnLine
#459
of 867 outputs
Outputs of similar age
#112,972
of 173,667 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 33rd percentile – i.e., 33% 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 173,667 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.