
Abstract The technical system considered is supposed to fulfil various functions. For each of these functions a corresponding subsystem is defined in terms of the system components. Generally different subsystems may have common components. Therefore these subsystems are statistically dependent even if the components are independent. Often one is interested in the probability that certain functions are fulfilled whereas the remaining functions fail. The method presented here allows a conservative approximation of this probability in a straightforward way.
| 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). | 4 | |
| 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 |
