SmellTracker figure code and data

This repository contains the code needed to generate the figures based on the smelltracker data. The code is organized as follows. Each sub-folder corresponds to a figure which appears in the paper. In each sub-folder there is a code file. All figures except for figure one are coded in MATLAB and use the statistics toolbox. Figure 1 is coded in python 3 using JupyterLab. All run times are under 5 minutes.

code and data for figure 1c are omitted since the data contains location details which are omitted in order to not (partially) identify participants.

Related Organizations

Karolinska Institute
Sweden
University of Florence
Italy
Utrecht University
Netherlands
Weizmann Institute of Science
Israel
Lyon Neuroscience Research Center
France

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Keywords

smelltracker, COVID-19

Impact byBIP!

	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).	0
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average