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ZENODO
Dataset . 2022
License: https://www.gnu.org/licenses/old-licenses/gpl-1.0-standalone.html
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
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 . 2022
License: https://www.gnu.org/licenses/old-licenses/gpl-1.0-standalone.html
Data sources: Datacite
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Artifacts for Characterizing Human Aspects in Reviews of COVID-19 Apps

Research datakeyboard_double_arrow_right Dataset 29 Mar 2022Publisher:Zenodo
Authors: Fazzini, Mattia; Khalajzadeh, Hourieh; Haggag, Omar; Li, Zhaoqing; Obie, Humphrey; Arora, Chetan; Hussain, Waqar; +1 Authors

doi: 10.5281/zenodo.6392198 , 10.5281/zenodo.6392197

Artifacts for Characterizing Human Aspects in Reviews of COVID-19 Apps

Abstract

This archive contains the artifacts associated with our study titled "Characterizing Human Aspects in Reviews of COVID-19 Apps". Specifically, the archive contains: * The dataset of reviews we downloaded from the App Store and the Google Play store (`Reviews.zip`) * The keywords we used to filter the reviews (`Keywords.json`) * The filtered dataset of reviews (`Filtered_Reviews.zip`) * The codebook to characterize human aspects (`Human_Aspects_Codebook.pdf`) * The codebook to characterize review types (`Review_Types_Codebook.pdf`) * The labeled App Store reviews (`Labeled_Reviews-Apple_Store.csv`) * The labeled Google Play store reviews (`Labeled_Reviews-Apple_Store.csv`)

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
1
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Related to Research communities
Corona Virus Disease