Inequality and cumulative advantage in science careers: a case study of high-impact journals

EPJ Data Science

Table 1 Summary of journal set datasets

Journal setj	Years	Articles	Authors, $R^{j}$
Cell	1974-2012	12,349	20,521 (1,006)
Economics (top 14 journals)	1899-2012	44,571	11,882 (1,791)
Management Sci. (top 3 journals)	1954-2012	18,836	6,801 (479)
Nat./PNAS/Sci.	1958-2012	219,656	123,165 (10,317)
New England J. Med. (NEJM)	1958-2012	18,347	34,828 (916)
Phys. Rev. Lett. (PRL)	1958-2012	98,739	61,429 (13,085)

$R^{j}$ is the number of ‘sufficiently rare’ surnames (see the Data & Methods section) we were able to identify in each journal set j over the denoted period. The $R^{j}$ value in parentheses denotes the number of researcher profiles with $L_{i} \geq 5$ , $N_{p} \geq 5$ , and $y_{i, 0}^{j} \geq 1960$ (Econ.) and $y_{i, 0}^{j} \geq 1970$ (other).