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In the following subdirectories are the input and outputs of cage and face analysis for: Published DOI: 10.1002/anie.202315451 Previously uploaded in 10.5281/zenodo.8432296 and https://github.com/andrewtarzia/citable_data Note that all scripts are self-contained. There is some duplicate code between them. scripts: build_cages.py: Builds the Pd2L4 cage models. Some manual optimisation is assumed. Paths for xTB and GULP are set to my machine. All outputs are relative to working directory. build_dwall_triangles.py: Builds the Pd3L6 cage models. Some manual optimisation is assumed. Paths for xTB and GULP are set to my machine. All outputs are relative to working directory.
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 |