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ZENODO
Software . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2017
License: CC BY
Data sources: ZENODO
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ECG Eye-tracking Experiment 1

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Sep 2017Publisher:Zenodo
Authors: Davies, Alan;

doi: 10.5281/zenodo.996474 , 10.5281/zenodo.996475

ECG Eye-tracking Experiment 1

Abstract

Visual transitions between ECG leads are compared between 2 groups (correct ECG interpretation vs incorrect ECG interpretation) per ECG. The transition matrices are transformed into Markov chains and the distance between them is computed with the Jensen-Shannon Distance. A permutation test is then carried out 10,000 times with randomly shuffled participants from the previous groups generating a distribution.

Related Organizations
Keywords

Eye-tracking, ECG, EKG, electrocardiogram, Markov chain, Jensen-Shannon Distance, transitions, accuracy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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