id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-171089-z4oya6kz	Liu, Meijun	Can pandemics transform scientific novelty? Evidence from COVID-19	2020-09-26		.txt	text/plain	9623	465	46	Our analysis of 58,728 coronavirus papers suggests that scientific novelty measured by the BioBERT model that is pre-trained on 29 million PubMed articles, and parachuting collaboration dramatically increased after the outbreak of COVID-19, while international collaboration witnessed a sudden decrease. Building on the "knowledge recombination" theory (4) and the combinatorial perspective of novelty (3, 9) , we assess papers' scientific novelty by quantifying how extraordinary a combination of bio-entities is in a coronavirus-related paper using BioBERT (Bidirectional Encoder Representations from Transformers for Biomedical Text Mining) (10), a language model that is pre-trained on 29 million PubMed articles. We examine the association between monthly change in scientific novelty, parachuting collaboration ratio and international collaboration of coronavirus papers by 50 sampled countries and their status as a confirmed COVID-19 infection site from January 2018 to April 2020 by month.	./cache/cord-171089-z4oya6kz.txt	./txt/cord-171089-z4oya6kz.txt