Abstract
The cumulative distribution of the age of the most-recent-reference distribution is the “dual” variant of the first-citation distribution. The latter has been modelled in previous publications of different authors but the former one has not. This paper studies a model of this cumulative most-recent-reference distribution which is different from the first-citation distribution. This model is checked on JASIS and JACS data, with success. The model involves the determination of 3 parameters and is a transformation of the lognormal distribution. However we also show that the first-citation model (involving only 2 parameters and which is easier to handle), developed in an earlier paper, gives enough freedom to give close fits to the most-recent-reference data as well.
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Egghe, L., Ravichandra Rao, I.K.R. Theory and experimentation on the most-recent-reference distribution. Scientometrics 53, 371–387 (2002). https://doi.org/10.1023/A:1014825113328
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DOI: https://doi.org/10.1023/A:1014825113328