Big Data Analysis of Nanoscience Bibliometrics, Patent, and Funding Data (2000-2019)

Authors

Yuliang Zhao, National Center for Nanoscience and Technology, China
Zhixiang Wei, National Center for Nanoscience and Technology, China
Qing Dai, Director of Science & Technology Management, National Center for Nanoscience and Technology, China
Hongwei Dong, Nano Standardization Accreditation and Strategic Support Division, National Center for Nanoscience and Technology, China
Hongjun Xiao, International Affairs Office, National Center for Nanoscience and Technology, China
Shuxian Wu, Nano Standardization Accreditation and Strategic Support Division, National Center for Nanoscience and Technology, China
Xingxing He, Analytical and Data Services, Elsevier
Beverley Mitchell, Science-Metrix, Elsevier
Thomas A. Collins, Analytical and Data Services, Elsevier
Sarah Huggett, Elsevier
John van Orden, Elsevier
Christiane Barranguet, Elsevier
Basak Candemir, Analytical and Data Services, Elsevier

Files

Description

Given the strategic significance of Nanoscience and nanotechnology, it is essential to evaluate and predict its developmental trends. This report is based on the largest abstract and citation database of peer-reviewed literature, Elsevier's Scopus, along with the research evaluation platform SciVal. The funding and patent analysis data for the report is from Funding Institutional and PatentSight, respectively. This report provides an evaluation of Nanoscience's scientific output, role, contribution, and impact through bibliometric analysis, combined with big data indicators of Nanoscience scientific results and patents from 2000 to 2019.

Publication Date

2021

Disciplines

Chemistry | Materials Science and Engineering | Nanotechnology | Physical Sciences and Mathematics | Science and Technology Studies

Recommended Citation

Zhao, Yuliang; Wei, Zhixiang; Dai, Qing; Dong, Hongwei; Xiao, Hongjun; Wu, Shuxian; He, Xingxing; Mitchell, Beverley; Collins, Thomas A.; Huggett, Sarah; van Orden, John; Barranguet, Christiane; and Candemir, Basak, "Big Data Analysis of Nanoscience Bibliometrics, Patent, and Funding Data (2000-2019)" (2021). Public Reports. 15.
https://analyticalservices.researchcommons.org/reports/15