Demystifying COVID-19 publications: institutions, journals, concepts, and topics | Zendy

Haihua Chen | Zendy; Jiangping Chen | Zendy; H.N. Nguyen | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Demystifying COVID-19 publications: institutions, journals, concepts, and topics

Author(s) -

Haihua Chen,

Jiangping Chen,

H.N. Nguyen

Publication year - 2021

Publication title -

journal of the medical library association jmla

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.102

H-Index - 58

eISSN - 1558-9439

pISSN - 1536-5050

DOI - 10.5195/jmla.2021.1141

Subject(s) - covid-19 , social media , pandemic , data science , topic model , bibliometrics , social distance , analytics , library science , political science , public relations , computer science , medicine , world wide web , disease , pathology , infectious disease (medical specialty) , natural language processing

We analyzed the COVID-19 Open Research Dataset (CORD-19) to understand leading research institutions, collaborations among institutions, major publication venues, key research concepts, and topics covered by pandemic-related research.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research