Table 1. Potential drivers of the proportion of papers with accessible data for each journal.
Driver | LR Chisq | df | p | Effect |
---|---|---|---|---|
B-M-T | 16.9 | 2 | 0.0002 | - |
Number of papers | 10.8 | 1 | 0.0010 | Negative |
Impact factor | 7.1 | 1 | 0.0075 | Positive |
Publisher | 24.1 | 14 | 0.0447 | - |
Open Access | 2.6 | 1 | 0.1094 | - |
Age | 0.4 | 1 | 0.8378 | Negative |
Data are accounting for the following: the differences among biological, multidisciplinary, and technological journals (B-M-T), the impact factor (in log scale), the number of papers (in log scale), the publisher, Open Access, and the age (in log scale). Analysis of the deviance table from binomial GLM with the LR Chisq, df, p-value, and directionality of the effect for continuous variables.
Abbreviations: B-M-T, biological, multidisciplinary, and technological journal; df, degrees of freedom; GLM, generalised linear model; LR Chisq, likelihood ratio chi-squared test