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Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures - Supplementary material

Research datakeyboard_double_arrow_right Dataset 23 Feb 2022 English Publisher:Zenodo

Authors: Mugabushaka, Alexis-Michel; Van Eck, Nees Jan; Waltman, Ludo;

doi: 10.5281/zenodo.6112761 , 10.5281/zenodo.6112762 , 10.5281/zenodo.6805409

Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures - Supplementary material

- Summary
- Subjects
- Metrics

Abstract

This dataset contains supplementary material for the paper 'Funding Covid-19 research: Insights from an exploratory analysis using open data infrastructures' by Alexis-Michel Mugabushaka, Nees Jan van Eck, and Ludo Waltman. supplementary_material_1_dataset.ods: Dataset of Covid-19 publications. supplementary_material_2_sample.ods: Samples of publications used to assess the accuracy of funding data in the different databases. supplementary_material_3_tables_and_figures.ods: Statistics underlying the tables and figures presented in the paper.

Related Organizations

European Commission
Belgium
Leiden University
Netherlands

Keywords

funding data, Crossref, open metadata, Scopus, Web of Science, Covid-19

Impact byBIP!

	citations 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).	1
	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