The boundary between wakefulness and sleep: quantitative electroencephalographic changes during the sleep onset period
Neuroscience, ISSN: 0306-4522, Vol: 107, Issue: 1, Page: 1-11
2001
- 145Citations
- 125Captures
- 1Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations145
- Citation Indexes145
- 145
- CrossRef89
- Captures125
- Readers125
- 125
- Mentions1
- References1
- Wikipedia1
Article Description
Microstructural electroencephalographic changes during the wakefulness–sleep transition have been investigated by comparing two definitions of sleep onset: the first occurrence of stage 1 and of stage 2. Power values were calculated across a 1–28-Hz frequency range in a 1-Hz bin resolution in the sleep recordings of 26 normal subjects. Quantitative changes were assessed after averaging individual time series, aligned with respect to the first occurrence of stage 1 or of stage 2.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0306452201003098; http://dx.doi.org/10.1016/s0306-4522(01)00309-8; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0035834808&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/11744241; https://linkinghub.elsevier.com/retrieve/pii/S0306452201003098; http://dx.doi.org/10.1016/s0306-4522%2801%2900309-8; https://dx.doi.org/10.1016/s0306-4522%2801%2900309-8
Elsevier BV
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