
This deliverableforms the main data infrastructure facilitating the building up of the ANIPH Artificial Intelligence (AI) predictive tool (D2.5). In order to fully align with the goals of Task 2.5.1, the Agricultural University of Athens (AUA) developed comprehensive, high-quality datasets encapsulating the physicochemical, processability, (eco)toxicological and biodegradability properties of short-chain length polyhydroxyalkanoates (scl-PHAs). *This deliverable has not yet been officially approved by the European Commission and should be considered a draft.
| 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). | 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 |
