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ZENODO
Dataset . 2022
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
Dataset . 2022
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
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Motivation by reward jointly improves speed and accuracy, whereas task-relevance and meaningful images do not

Authors: Wolf, Christian;

Motivation by reward jointly improves speed and accuracy, whereas task-relevance and meaningful images do not

Abstract

Data from: Wolf, C., & Lappe, M. (2022). Motivation by reward jointly improves speed and accuracy, whereas task-relevance and meaningful images do not. Attention, Perception, & Psychophysics. doi: 10.3758/s13414-022-02587-z The data from both Experiments can be found in the txt files "Exp1.txt" and "Exp2.txt". The data files contain all trials. The column labels and variable description can be found in the pdf files "ColumnLabels_Exp1.pdf" and "ColumnLabels_Exp2.pdf". For the saccadic deviation data, data are uploaded in separate txt files and with separate column descriptions for each experiment. Data files only contain those trials that were considered for the analysis. For questions please contact Christian Wolf (chr.wolf[at]wwu.de)

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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