
In search for a country-level g-factor, aggregated data were used by Rindermann. This, however, can cause some problems, well-known in the literature on multi-level modelling. Conceptual clarity of the country-level g-Jactor is lacking, the 'blown up' coefficients are well-known in studies on using aggregated data, and are not that remarkable, and the quest for causes and effects of the country-level g-Jactor is only meaningful if we understand what this factor stands for and if we are able to analyse data in which the multi-level structure is preserved. Copyright (C) 2007 John Wiley & Sons, Ltd.
| 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 |
