Bibliometric Analysis of References Selection that Influence Citations among Articles of Thai Multidisciplinary Journals

Abstract

The purpose of this study is to examine association between reference list factors and citation count among articles published in Thai multidisciplinary journals based on the Scopus database. Spearman’s rank correlation and Negative binomial regression models were used for univariate and multivariate analysis, respectively. The results from 900 articles revealed that many reference list factors such as number of references, proportion of past 10 years references, source items references and impact of references had significantly positive correlation with citation counts both in univariate and multivariate analysis. The number of references is still a good quantitative basic indicator, which is easy to access information. For impact of references list, this study measured by average citation and h-Index of references list. Despite being a factor that reflects the quality of the research as well but for the evaluation of the unpublished research articles in the submission process, the indicators still have a long memory retention period. Such indicators require a long time to collect data and are not flexible.