Reframing the Disruption index by incorporating citation intentions

This study proposes a feasible framework to combine the disruption index with citation intentions to further understand the progress of scientific advances. Our analyses are mainly based on the Semantic Scholar Academic Graph dataset, which provides classified intentions of background information, methodology and result comparison. In order to ensure the assessment accuracy, we focus on papers published from 1969 to 2019 and investigate the distributions and trends of both the three original indexes measuring disruption and the nine variants with intents. The results verify the claim that science is becoming less disruptive both from the overall perspective and from the viewpoint of three citing intentions. And we also prove the convergent validity of the disruption variants with intents through calculating Spearman rank correlations.