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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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 . 2019
License: CC BY
Data sources: Datacite
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Laws of concatenated perception: Vision goes for novelty, Decisions for perseverance

Authors: David, Pascucci; Mancuso Giovanni; Santandrea Elisa; Chiara, Della Libera; Plomp Gijs; Chelazzi Leonardo;

Laws of concatenated perception: Vision goes for novelty, Decisions for perseverance

Abstract

Datasets in Excel (long format) of Experiment 1-8. Each dataset contains raw data (i.e., before preprocessing) of single-trial variables for each individual subject (observer). Columns include dependent variables (e.g., reported orientation [reported], reaction times [rt]) and independent variables (e.g., orientation, condition) that are specific to each individual experiment. To reproduce the main figures and results, data have to be pre-processed and analyzed according to the pipeline described in details in the manuscript (Methods section).

A small amount of negative reaction times (around 0.005 for three participants only) is present in Experiment6_rawdata.csv because of accidental responses before the appearance of the response bar. These outliers are removed automatically, following the pre-processing described in the manuscript.

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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).
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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.
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