Table 1. Univariate and multivariate regression models.
Model: # Google scholar cites | Estimate (SE) | t value | p value | OR [CI95%] | |
Methodological quality | High | - | - | - | |
Moderate | -0.237 (0.299) | -0.793 | ns | ||
Low | -0.417 (0.396) | -1.052 | ns | ||
Funding sources | Academic | -0.542 (0.291) | -1.863 | ns | |
Pharma | -0.289 (0.357) | -0.808 | ns | ||
Author′s conflict of interest | 0.009 (0.038) | 0.253 | ns | ||
Impact factor | 0.029 (0.059) | 0.500 | ns | ||
Year of publication | 2011 | - | - | - | |
2012 | 0.545 (0.944) | 0.577 | ns | ||
2013 | 0.629 (0.873) | 0.720 | ns | ||
2014 | -0.383 (0.893) | -0.429 | ns | ||
2015 | -2.156 (0.903) | -2.388 | <0.016 | 0.115 [0.019; 0.679] | |
2016 | -3.645 (0.930) | -3.917 | <0.001 | 0.026 [0.004; 0.161] | |
Number of tweets | 0.015 (0.020) | 0.754 | ns | ||
Mendeley′s readers | 0.033 (0.007) | 4.263 | <0.001 | 1.033 [1.018; 1.049] | |
Model: # Tweets | Estimate | SE | t value | OR [CI95%] | |
Methodological quality | High | - | - | - | |
Moderate | 0.627 (0.548) | 1.142 | ns | ||
Low | 0.321 (0.629) | 0.510 | ns | ||
Funding sources | Academic | 0.750 (0.557) | 1.346 | ns | |
Pharma | -0.271 (0.687) | -0.394 | ns | ||
Author′s conflict of interest | 0.221 (0.120) | 1.833 | ns | ||
Impact factor | 0.184 (0.051) | 3.584 | <0.001 | 1.202 [1.087; 1.329] | |
Year of publication | 2011 | - | - | - | |
2012 | 1.316 (0.863) | 0.271 | ns | ||
2013 | 1.053 (0.807) | 0.406 | ns | ||
2014 | 1.139 (0.811) | -2.661 | ns | ||
2015 | 1.360 (0.804) | -2.436 | ns | ||
2016 | 0.690 (0.823) | -4.26 | ns |
…