The logistic regression weights (Exp are estimates of the size of the individual contributions of each of our predictor variables to our target variable (citations).
The results showed no evidence of an association between this new variable and citation.
This brief review of research on the influence of different more or less extra-scientific variables on citation counts is drawn from studies of articles which have been published in several fields of research.
The outcome variable was the citation index (citations per year).
The third part describes the data for empirical analysis and the definition of the variables followed by citation of the decomposition result of productivity improvement in the fourth one.
As the test provides evidence that the assumption was violated for the variable "number of citations for a manuscript," the variable was entered into the regression analysis as a log-transformed variable.
This will help us to explore which confounding variables may explain the citation advantage that has been widely reported in the literature.
Citations came out as negatively correlated with the Review variable for the low-medium citation ranges in our analysis, so it was eliminated in further analyses).
In the context of research impact measurement, the n random variables are the citations of the n papers of a given scientist.
From Table 1, we see, consistent with results in Figure 3, that even controlling for other variables, cross-disciplinary citations correlate with higher impact for non-zero impact publications.
The extracted variables included full citations, study design, participants (origin, sample size, gender, age, and medical condition), details of SAHP (herbal ingredients, acupoints, treatment session, treatment course, frequency), control treatments and outcome (follow up, outcome type).
