EBSCO articles dataset (domain knowledge: rehabilitation medicine) + JSON of every article

EBSCO articles dataset (domain knowledge: rehabilitation medicine) + JSON of every article. EBSCO articles dataset (parsed into JSON).zip - an archive with structuring of each article in JSON format. This study would not have been possible without the financial support of the National Research Foundation of Ukraine (FundRef ID: 10.13039/100018227). Our work was funded by Grant contracts: – “Transdisciplinary intelligent information and analytical system for the re-habilitation processes support in a pandemic (TISP)”, application ID: 2020.01/0245 (2020–2021, project was success-fully completed); – “Development of the cloud-based platform for patient-centered telerehabilitation of oncology patients with mathematical-related modeling”, application ID: 2021.01/0136 (2022–2023, project is still in progress).

In this version, an archive with structuring of each article in JSON format has been added - EBSCO articles dataset (parsed into JSON).zip

Related Organizations

Ternopil State Medical University
Ukraine

Keywords

ebsco, articles, digital health, telerehabilitation, rehabilitation

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average