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The effect of GSM-like ELF radiation on the alpha band of the human resting EEG

Overview of attention for article published in Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society, January 2008
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Title
The effect of GSM-like ELF radiation on the alpha band of the human resting EEG
Published in
Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society, January 2008
DOI 10.1109/iembs.2008.4650503
Pubmed ID
Authors

Nicholas Perentos, Rodney J. Croft, Raymond J. McKenzie, Dean Cvetkovic, Irena Cosic

Abstract

Mobile phone handsets such as those operating in the GSM network emit extremely low frequency electromagnetic fields ranging from DC to at least 40 kHz. As a subpart of an extended protocol, the influence of these fields on the human resting EEG has been investigated in a fully counter balanced, double blind, cross-over design study that recruited 72 healthy volunteers. A decrease in the alpha frequency band was observed during the 20 minutes of ELF exposure in the exposed hemisphere only. This result suggests that ELF fields as emitted from GSM handsets during the DTX mode may have an effect on the resting alpha band of the human EEG.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 19%
Other 2 10%
Student > Ph. D. Student 2 10%
Professor > Associate Professor 2 10%
Student > Master 2 10%
Other 6 29%
Unknown 3 14%
Readers by discipline Count As %
Engineering 5 24%
Nursing and Health Professions 3 14%
Medicine and Dentistry 3 14%
Computer Science 2 10%
Physics and Astronomy 1 5%
Other 3 14%
Unknown 4 19%
Attention Score in Context

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 09 December 2015.
All research outputs
#19,947,956
of 25,377,790 outputs
Outputs from Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society
#2,758
of 4,376 outputs
Outputs of similar age
#158,285
of 168,393 outputs
Outputs of similar age from Conference proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society
#50
of 62 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,376 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.