Lack of diffusion of popular scientific ideas marks the presence of epistemic ‘bubbles’

Abstract

Using a machine-learning framework to study the diffusion of biomedical knowledge in the literature, we find that scientific ideas experience popularity booms and busts when knowledge diffusion is constricted, which leads to adverse consequences for science and scientists. Our work highlights the need for research to have an effect on diverse audiences to achieve sustained scientific advancement.