| Title |
Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment
|
|---|---|
| Published in |
Biological Cybernetics, June 2000
|
| DOI | 10.1007/s004229900137 |
| Pubmed ID | |
| Authors |
Mingzhou Ding, Steven L. Bressler, Weiming Yang, Hualou Liang |
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 % |
|---|---|---|
| Belgium | 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 424 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 3% |
| United Kingdom | 4 | <1% |
| Germany | 3 | <1% |
| Brazil | 3 | <1% |
| France | 2 | <1% |
| Italy | 2 | <1% |
| Australia | 2 | <1% |
| Portugal | 2 | <1% |
| Canada | 2 | <1% |
| Other | 8 | 2% |
| Unknown | 385 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 153 | 36% |
| Researcher | 87 | 21% |
| Student > Master | 36 | 8% |
| Student > Doctoral Student | 26 | 6% |
| Professor > Associate Professor | 25 | 6% |
| Other | 52 | 12% |
| Unknown | 45 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 80 | 19% |
| Neuroscience | 69 | 16% |
| Agricultural and Biological Sciences | 61 | 14% |
| Psychology | 43 | 10% |
| Computer Science | 40 | 9% |
| Other | 69 | 16% |
| Unknown | 62 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 January 2022.
All research outputs
#5,393,063
of 26,017,215 outputs
Outputs from Biological Cybernetics
#103
of 686 outputs
Outputs of similar age
#6,556
of 41,359 outputs
Outputs of similar age from Biological Cybernetics
#1
of 2 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 686 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 84% of its peers.
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 41,359 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
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. This one has scored higher than all of them