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Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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COVID-19 Deaths Dataset

Authors: Godahewa, Rakshitha; Bergmeir, Christoph; Webb, Geoff; Hyndman, Rob; Montero-Manso, Pablo;

COVID-19 Deaths Dataset

Abstract

{"references": ["COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. URL https://github.com/CSSEGISandData/COVID-19", "Dong, E., Du., H., Gardner, L., 2020. An interactive web-based dashboard to track COVID-19 in real time. Lancet Inf Dis. 20(5):533-534. doi: 10.1016/S1473-3099(20)30120-1"]}

This dataset contains 266 daily time series that represent the COVID-19 deaths in a set of countries and states from 22/01/2020 to 20/08/2020. It was extracted from the Johns Hopkins repository.

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Keywords

covid19, daily series, forecasting

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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.
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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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