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</script>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 |
