Table 2. Meta-regression across journals of log fold-changes for having a preprint.
A positive coefficient means the log fold-change for having a preprint increases as that variable increases (or if articles in that journal are immediately open access). However, coefficients for different variables have different units and are not directly comparable. P-values were adjusted using the Bonferroni-Holm procedure, based on having fit two models. Depending on the two p-values for a given variable, the procedure may have left one p-value unchanged. Regression statistics for the intercept are shown in Supplementary file 12.
| Metric | Journal-level variable | Coef. | Std. error | 95% CI (lower) | 95% CI (upper) | t-statistic | p-value | Adj. p-value |
|---|---|---|---|---|---|---|---|---|
| Attention Score | Immediately open access | 0.118 | 0.076 | −0.037 | 0.273 | 1.551 | 0.130 | 0.260 |
| log2(Impact Factor) | −0.025 | 0.040 | −0.107 | 0.057 | −0.616 | 0.542 | 0.542 | |
| log2(% of articles with preprints) | −0.064 | 0.032 | −0.129 | 0.001 | −1.991 | 0.054 | 0.109 | |
| Citations | Immediately open access | −0.013 | 0.069 | −0.152 | 0.126 | −0.187 | 0.853 | 0.853 |
| log2(Impact Factor) | 0.044 | 0.036 | −0.030 | 0.117 | 1.211 | 0.234 | 0.468 | |
| log2(% of articles with preprints) | 0.037 | 0.029 | −0.022 | 0.095 | 1.283 | 0.208 | 0.208 |