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This GRACIOUS Blueprint PDF document describes an object-oriented model of the GRACIOUS Framework developed in the Horizon 2020 research project GRACIOUS (No 760840). The Blueprint is designed to facilitate tool developers implementing the GRACIOUS framework or relevant parts of it into their existing or future nano safety software. The Blueprint provides an extended set of classes, associations, composite and inheritance relationships, attributes, enumerations, decision tables and algorithms. The pdf document is not handwritten but automatically generated from the object-oriented model which allowed the Blueprint model to be tested in an online test environment. As the Blueprint is an interpretation of the content and knowledge developed within the GRACIOUS project it can serve as a good starting point for implementation, however it should always be used in combination with the most recent GRACIOUS and other related scientific publications, which describe the content completer and in more detail. Version 1.0 of the Blueprint is the last version developed as part of the GRACIOUS project. New versions of the Blueprint will be published in the future as it will be further developed in other H2020 projects like SAbyNA, SbD4Nano and HARMLESS.
Developers, see also: Traas, L., & Vanhauten, R. (2021). GRACIOUS framework blueprint (JSON). Zenodo. https://doi.org/10.5281/zenodo.6140453
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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 |