Published on 11 April 2020 |

Version 0.1

Knowledge Graph about altmetrics of selected papers about COVID-19

View Dataset
Boetto, Erik;Fantini, Maria Pia;Gangemi, Aldo;Golinelli, Davide;Greco, Manfredi;Nuzzolese, Andrea Giovanni;Presutti, Valentina;Rallo, Flavia

Description

The knowledge graph (KG) contains data about altmetrics as well traditional indicators associated with 212 papers resulting from an early literature review. Publication dates encompass a time-window ranging from January 15th 2020 to February 24th 2020. The KG is represented as RDF and modelled by using the Indicators Ontology (I-Ont). I-Ont is an ontology for representing scholarly artefacts and their associated indicators, e.g. citation count or altmetrics such as the number of readers on Mendeley.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.7

FAIR Score

77%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Computational Theory and Mathematics

Field

Computer Science

Domain

Physical Sciences

Confidence Score

93%

Source

Open Alex

Keywords

COVID-19altmetricsindicatorsscientometricsRDFlinked open datasemantic web

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00