This poster aimed to identify the usefulness of altmetrics as a leading indicator for predicting bibliometrics. This study extracted common trends of bibliometrics and altmetrics using PCA and analyzed potential time gaps between them using cross-correlation analysis. For this job, this study focused on the field of social science, while employing the bibliometrics and altmetrics data from 495,652 papers out of a total of 42 topics published in the past 30 years (1993–2022). As a results of the analysis, the Captures, among the altmetrics indicators, preceded the number of papers, the number of Authors by 2 years and the Usage counts by 3 years, and the finding of the study suggests the captures can be used as a leading indicator of the number of articles, authors, and usages.