Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph

Table 9 Top Features (Mean and Std. Dev.) for Categorized Data

TF-IDF (WHO-4)	Imp.	BOW (WHO-4)	Imp.	TF-IDF (WHO-30)	Imp.	BOW (WHO-30)	Imp.
variants	0.013	vaccine	0.013	posted listserv copyright	0.002	children	0.019
vaccine	0.011	vaccination	0.012	students	0.002	vaccina-tion	0.017
medicine	0.006	variants	0.008	individual use	0.002	students	0.016
vaccination	0.005	vaccines	0.007	thromboc-ytopenia	0.001	omicron	0.014
vaccines	0.005	studies	0.007	se	0.001	vaccine	0.013
variant	0.005	article	0.007	antibodies	0.001	symptoms	0.010
herbal	0.004	sarscov2	0.006	children	0.001	model	0.007
medicinal	0.004	variant	0.006	vaccine	0.001	sars	0.006
treatment	0.003	patients	0.006	docking	0.001	mental	0.006
chinese	0.003	pandemic	0.005	antibody	0.001	thromboc-ytopenia	0.006
antiviral	0.003	infection	0.005	thrombotic	0.001	95 ci	0.006
traditional chinese medicine	0.003	covid19	0.005	igg	0.001	health	0.006
traditional	0.003	different	0.004	cov	0.001	sars cov	0.005
covid19 vaccination	0.003	conclusions	0.004	abridged	0.001	variant	0.005
covid19 vaccine	0.002	disease	0.004	mental health	0.001	igg	0.005

ISSN: 2041-1480