Title: Knowledge Graph about altmetrics of selected papers about COVID-19

Type Dataset Erik Boetto, Maria Pia Fantini, Aldo Gangemi, Davide Golinelli, Manfredi Greco, Andrea Giovanni Nuzzolese, Valentina Presutti, Flavia Rallo (2020): Knowledge Graph about altmetrics of selected papers about COVID-19. Zenodo. Dataset. https://zenodo.org/record/3748694

Authors: Erik Boetto (DIBINEM, University of Bologna, Italy) ; Maria Pia Fantini (DIBINEM, University of Bologna, Italy) ; Aldo Gangemi (STLab, ISTC-CNR) ; Davide Golinelli (DIBINEM, University of Bologna, Italy) ; Manfredi Greco (DIBINEM, University of Bologna, Italy) ; Andrea Giovanni Nuzzolese (STLab, ISTC-CNR) ; Valentina Presutti (LILEC, University of Bologna, Italy) ; Flavia Rallo (DIBINEM, University of Bologna, Italy) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

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.

More information

• DOI: 10.5281/zenodo.3748694

Subjects

• COVID-19, altmetrics, indicators, scientometrics, RDF, linked open data, semantic web

Dates

• Publication date: 2020
• Issued: April 11, 2020

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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