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(Ebook) Big Data Analysis of Nanoscience Bibliometrics, Patent, and Funding Data (2000-2019) by Yuliang Zhao, Hongjun Xiao, Xingxing He, (eds) ISBN 9780323913119, 0323913113

  • SKU: EBN-34775548
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Instant download (eBook) Big Data Analysis of Nanoscience Bibliometrics, Patent, and Funding Data (2000-2019) after payment.
Authors:Yuliang Zhao, Hongjun Xiao, Xingxing He, (eds)
Pages:126 pages.
Year:2021
Editon:1
Publisher:Elsevier
Language:english
File Size:8.82 MB
Format:pdf
ISBNS:9780323913119, 0323913113
Categories: Ebooks

Product desciption

(Ebook) Big Data Analysis of Nanoscience Bibliometrics, Patent, and Funding Data (2000-2019) by Yuliang Zhao, Hongjun Xiao, Xingxing He, (eds) ISBN 9780323913119, 0323913113

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.

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