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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.
funding data, Crossref, open metadata, Scopus, Web of Science, Covid-19
funding data, Crossref, open metadata, Scopus, Web of Science, Covid-19
| 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). | 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 |
| views | 20 | |
| downloads | 3 |

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