Individual EEG measures of attention, memory, and motivation predict population level TV viewership and Twitter engagement

scientific article published on 28 March 2019

Individual EEG measures of attention, memory, and motivation predict population level TV viewership and Twitter engagement is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1371/JOURNAL.PONE.0214507
P932PMC publication ID6438528
P698PubMed publication ID30921406

P50authorAvgusta Y ShestyukQ80156137
P2093author name stringRobert T Knight
Karthik Kasinathan
Ram Gurumoorthy
Viswajith Karapoondinott
P2860cites workBeyond Self-Report: Emerging Methods for Capturing Individual Differences in Decision-Making ProcessQ26765960
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P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue3
P407language of work or nameEnglishQ1860
P921main subjectXQ918
P304page(s)e0214507
P577publication date2019-03-28
P1433published inPLOS OneQ564954
P1476titleIndividual EEG measures of attention, memory, and motivation predict population level TV viewership and Twitter engagement
P478volume14

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Q91595283Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applicationscites workP2860