Libraries at University of Nebraska-Lincoln
Date of this Version
Winter 2-22-2018
Abstract
The present study was carried to find out the association between twitter and citation pattern for scholarly articles. This study was carried out with the most prolific authors of 2014 from the four subject domain “Clinical medicine, Microbiology, Molecular Biology, and Neuroscience” and 4886 papers were identified to studied their tweets and citation counts. From the study, it was found that the articles of the most prolific authors have a strong correlation with the citation and its value ρ =.518**. The linear relationship for individual subjects was between .386** to .559**, significant at .01 level.