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Título de Acceso Abierto
Big Data Analysis of Nanoscience Bibliometrics, Patent, and Funding Data (2000-2019)
Yuliang Zhao ; Hongjun Xiao ; Xingxing He (eds.)
Resumen/Descripción – provisto por la editorial en inglés
Big Data Analysis of Nanoscience Bibliometrics, Patent, and Funding Data (2000-2019) presents an evaluation of nanotechnologies outputs (academic outputs and patents) and their impact from 2000-2019. The evaluation uses Elsevier’s Scopus (the largest abstract and citation database of peer-reviewed literature), SciVal (a scientific research analysis platform), Funding Institutional (a funding database), and PatentSight (a patent analysis platform). It covers four key topics regarding nanoscience research, including: 1) An overview of nano-related scholarly output, 2) Nanoscience and its contribution to basic science, 3) Nanoscience and its impact on and collaboration with industry partners, and 4) Key factors that promote the development of nanoscience.Palabras clave – provistas por la editorial
No disponibles.
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No requiere | 2021 | ScienceDirect |
|
Información
Tipo de recurso:
libros
ISBN electrónico
978-0-323-91311-9
Editor responsable
Elsevier
País de edición
Países Bajos
Fecha de publicación
2021
Información sobre derechos de publicación
Copyright © 2021 Elsevier Ltd. All rights reserved.
