Table 4 Coefficients of a negative binomial regression model that predicts a paper’s total number of tweet mentions
From: The gender gap in scholarly self-promotion on social media
Dependent variable: | |
|---|---|
The total number of tweets | |
Woman x (Self-promotion = True) | −0.127 (p < 0.001) |
Woman | 0.148 (p < 0.001) |
Self-promotion = True | 1.235 (p < 0.001) |
Authorship first position | 0.110 (p < 0.001) |
Authorship middle position | 0.290 (p < 0.001) |
Authorship solo author | −0.206 (p < 0.001) |
Affiliation rank | −0.008 (p < 0.001) |
Affiliation ___location international | 0.069 (p < 0.001) |
Author previous num. of publications | −0.102 (p < 0.001) |
Author log citations | 0.050 (p < 0.001) |
Author log follower count | 0.095 (p < 0.001) |
Publication year 2014 | 0.239 (p < 0.001) |
Publication year 2015 | 0.399 (p < 0.001) |
Publication year 2016 | 0.531 (p < 0.001) |
Publication year 2017 | 0.797 (p < 0.001) |
Publication year 2018 | 0.924 (p < 0.001) |
Number of authors | 0.001 (p < 0.001) |
Journal impact factor | 0.065 (p < 0.001) |
Intercept | 0.364 (p < 0.001) |
Fixed effects for research fields | Yes |
Observations | 618,742 |
