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The DILS2018 use-case dataset, collected via subject matter experts to represent DILS 2018 papers as a machine readable graph model. The data is presented as a tabular format for ease of use and import.
Allard Oelen and Jennifer D'Souza, joined the project after the DILS2018 experiment, but the had a good involvement in the later stages of the developments
DILS2018 ORKG experiment, ORKG
DILS2018 ORKG experiment, ORKG
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). | 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 |
views | 16 | |
downloads | 2 |