The multidisciplinary nature of COVID-19 research

View Dataset
Arencibia-Jorge, Ricardo

Description

Data were extracted from an online bibliographic database (Web of Science, core collection), using its journal classification scheme as a proxy to quantify the multidisciplinary coverage of scientific output. We examined bibliometric measures from January to June 2020 for COVID-19 and three years after initiation of the rest of studied epidemics/pandemics. We designd and calculated a novel Thematic Dispersion Index (TDI).

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

Assigned Domain

Subfield

Modeling and Simulation

Field

Mathematics

Domain

Physical Sciences

Confidence Score

59%

Source

Scholar Data Model

Keywords

80705 InformetricsFOS: Media and communications

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00