
This python script was developed to correlate structural (AFM) and elemental composition (SIMS) data for characterization of functionalized nanostructures. When an object is measured in separate devices, the position, orientation, resolution and format of the data may differ and prevent a correlation of these information. This script is designed to first harmonize the format of the AFM and SIMS data and then perform an automated correlation of the two data types.
| 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 |
