id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-343072-3wuh6k6g	Dong, Mengying	Understand Research Hotspots Surrounding COVID-19 and Other Coronavirus Infections Using Topic Modeling	2020-03-30		.txt	text/plain	3321	212	50	title: Understand Research Hotspots Surrounding COVID-19 and Other Coronavirus Infections Using Topic Modeling (9) and Md Mahbub Hossain MBBS (10) have performed bibliometric analysis to evaluate the scientific literature on coronavirus infections as well as COVID-19, basing on indicators such as the number of articles, the productivity of authors, geographic distribution of articles and prominent keywords. The purpose of this work was to conduct LDA modeling for semantic and quantitative evaluations of the current status of literature on CoV infections as well as COVID-19, identify broad research topics and how these topics interact with one another. We found that topics of clinical characterization, epidemiology, and virus transmission are hotspots for COVID-19 at present, while research on pathogenesis, therapeutics, virus diagnostics, vaccines and viral genomics are urgently needed. https://doi.org/10.1101/2020.03.26.20044164 doi: medRxiv preprint 5 total, 1,482 articles were identified as COVID-19-related research.	./cache/cord-343072-3wuh6k6g.txt	./txt/cord-343072-3wuh6k6g.txt