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A novel generative research dataset on preprints' role within the Covid-19 pandemic

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type , Article 03 Jul 2023 English Publisher:Zenodo
Authors: Lemke, Steffen; Bittkowski, Meik; Boytchev, Hristio; Peters, Isabella;

doi: 10.5281/zenodo.8224301 , 10.5281/zenodo.8224300 , 10.5281/zenodo.8224340 , 10.5281/zenodo.10651862 , 10.5281/zenodo.10651863

A novel generative research dataset on preprints' role within the Covid-19 pandemic

Abstract

Poster presented at the 19th International Conference on Scientometrics and Informetrics (ISSI 2023) in Bloomington, Indiana (USA), from July 2-5, 2023.

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Keywords

science journalism, preprints, Covid-19, open data, generative dataset, science journalism, generative dataset, preprints, open data, Covid-19

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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
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14
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Corona Virus Disease