id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-254591-z9rfwm1g	Vasconcelos, G. L.	Modelling the epidemic growth of preprints on COVID-19 and SARS-CoV-2	2020-09-09		.txt	text/plain	4863	265	57	The response of the scientific community to the global health emergency caused by the COVID-19 pandemic has produced an unprecedented number of manuscripts in a short period of time, the vast majority of which has been shared in the form of preprints posted before peer review on preprint repositories. In the present study we apply a mathematical growth model, known as the generalized Richards model, to describe the time evolution of the cumulative number of COVID-19 related preprints. We also analyze the rank-frequency distribution of preprints servers, ordered by the number of COVID-19 preprints they host, and find that it follows a power-law decay. We have seen above that the time evolution of the number of COVID-19 related preprints is well described by the generalized Richards growth model. To better understand this "scidemic," we have applied a generalized logistic growth model to describe the time evolution of the cumulative number of unrefereed preprints on COVID-19 and SARS-CoV2.	./cache/cord-254591-z9rfwm1g.txt	./txt/cord-254591-z9rfwm1g.txt