Figure 1
From: Power-law-like distributions in biomedical publications and research funding
Power-law-like distributions. (a) The relationship between the probability P(k) of observing a human gene with k references in Entrez Gene decays according to a power law P(k) ~ k-a. This trend has also been observed for mouse genes (data not shown) as indexed in the Entrez Gene database. (b) This distribution is also observed when directly searching symbols and aliases in Medline abstracts. The number of genes with zero references is shown in (a) and (b) as black triangles, but were not used in the power-law calculation. (c) Analysis of the CRISP database of NIH-funded grants in 2005 also reveals a power-law relationship. (d) A gamma distribution is most consistent with the research community's goal of genome-wide gene annotation. In this example, gamma-distribution parameters were shape = 2 and scale = 50. Axes are shown in log10 scale.