↓ Skip to main content

Do resting brain dynamics predict oddball evoked-potential?

Overview of attention for article published in BMC Neuroscience, November 2011
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
80 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Do resting brain dynamics predict oddball evoked-potential?
Published in
BMC Neuroscience, November 2011
DOI 10.1186/1471-2202-12-121
Pubmed ID
Authors

Tien-Wen Lee, Younger W-Y Yu, Hung-Chi Wu, Tai-Jui Chen

Abstract

The oddball paradigm is widely applied to the investigation of cognitive function in neuroscience and in neuropsychiatry. Whether cortical oscillation in the resting state can predict the elicited oddball event-related potential (ERP) is still not clear. This study explored the relationship between resting electroencephalography (EEG) and oddball ERPs. The regional powers of 18 electrodes across delta, theta, alpha and beta frequencies were correlated with the amplitude and latency of N1, P2, N2 and P3 components of oddball ERPs. A multivariate analysis based on partial least squares (PLS) was applied to further examine the spatial pattern revealed by multiple correlations.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
India 1 1%
Korea, Republic of 1 1%
Japan 1 1%
France 1 1%
Unknown 73 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 26%
Student > Ph. D. Student 18 23%
Other 6 8%
Student > Master 5 6%
Professor 5 6%
Other 12 15%
Unknown 13 16%
Readers by discipline Count As %
Psychology 22 28%
Agricultural and Biological Sciences 12 15%
Neuroscience 12 15%
Medicine and Dentistry 10 13%
Engineering 4 5%
Other 5 6%
Unknown 15 19%

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 25 November 2011.
All research outputs
#2,918,461
of 4,507,280 outputs
Outputs from BMC Neuroscience
#416
of 640 outputs
Outputs of similar age
#63,470
of 97,738 outputs
Outputs of similar age from BMC Neuroscience
#26
of 38 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 640 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 31st percentile – i.e., 31% 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 97,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.