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Co-author B.S. acknowledges funding from the NFDI programme of the Joint Science Conference (GWK) within DFG project no. 460135501 (MaRDI). Co-author M.T.H. acknowledges funding from the EU's Horizon 2020 research and innovation programme under grant agreements no. 953163 (DOME 4.0), and 958371 (OntoCommons) and activities of Inprodat e.V. The dissemination of the present work is supported by the Innovation Centre for Process Data Technology (Inprodat e.V.), Kaiserslautern. Copyright is retained by the authors.
For this first-stage report of our ongoing case study, we went through a series of papers without consulting these papers’ authors in any way. The aim is to restrict ourselves to analysing explicit statements from the papers under investigation.
applied ontology, epistemic metadata, knowledge representation, research data management, process data technology, molecular modelling
applied ontology, epistemic metadata, knowledge representation, research data management, process data technology, molecular modelling
| 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 | 12 | |
| downloads | 15 |

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