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Characteristics of the knowledge graph of scientific and technological innovation in Gansu Province.
Liu, Wenhao; Shi, Xiaoqian; Zheng, Junwei; Li, Ren.
Afiliación
  • Liu W; Cryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000 China.
  • Shi X; University of Chinese Academy of Sciences, Beijing, 100049 China.
  • Zheng J; Lanzhou Literature and Information Center, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000 Gansu China.
  • Li R; PetroChina Research Institute of Petroleum Exploration and Development-Northwest, Lanzhou, 730020 China.
Environ Dev Sustain ; : 1-17, 2023 Mar 16.
Article en En | MEDLINE | ID: mdl-37363035
The knowledge graph based on research papers can accurately identify and present the latest developments in scientific and technological (S&T) innovation and is of great significance for supporting strategic decision-making relating to S&T innovation in undeveloped areas. Based on the international research papers produced in Gansu Province during the 13th Five-Year Plan period (2016-2020), five metrics, including the number and characteristics of papers, co-authors, main publications and their fields, major supporting institutions, and main research areas, are established herein. The results indicate that: (i) the total of 29,951 papers were published, which is about 2.89 times that in 2010-2015; (ii) Gansu Province collaborated with 149 countries/regions globally; (iii) the top 5 journals in terms of the number of papers were Medicine, Scientific Reports, RSC Advances, Science of the Total Environment, and Physical Reviews D; (iv) the funding sources were mainly from the national level; and (5) the top 5 research areas were chemistry, engineering, physics, material science, environmental science, and ecology, which accounted for 64.7% of all papers. Finally, the present study puts forward some recommendations for the decision-making process in the strategic layout of S&T innovation in Gansu Province.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Dev Sustain Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Dev Sustain Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos