
doi: 10.1007/bf02051042
This paper used data generated in a previous study to model what can be termed fast literature. In this case, the literature of superstring theory was examined to determine if an anomalous case, such as superstring literature, might fit a theoretical distribution. Price's Index was examined and found not to fit the data. The lognormal and the Weibull Distributions both appear to fit the observed distribution; however, the Weibull has better practical as well as theoretical strengths to model superstring literature. It is suggested that the literature of superstrings belongs in a separate class of literature, what we term fast literature. Additional study is indicated to determine if this type of literature is a significant factor in scientometrics.
| 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). | 5 | |
| 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 |
