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Applying quantified indicators in Central Asian science: can metrics improve the regional research performance? Scientometrics 2022. [DOI: 10.1007/s11192-022-04544-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
AbstractQuantified indicators are increasingly used for performance evaluations in the science sectors worldwide. However, relatively little information is available on the expanding use of research metrics in certain transition countries. Central Asia is a post-Soviet region where newly independent states achieved lower research performance relative to comparators in key indicators of productivity and integrity. The majority of the countries in this region showed an overall declining or stagnating research impact in the recent decade since 2008. This study discusses the implications of research metrics as applied to the transition countries based on the framework of ten principles of the Leiden Manifesto. They can guide Central Asian policymakers in creating systems for a more objective evaluation of research performance based on globally recognized indicators. Given the local conditions of authoritarianism and corruption, the broader use of transparent indicators in decision-making can help improve the positions of Central Asian science in international rankings.
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Wang Y, Hong S, Wang J, Lin J, Mu H, Wei L, Wang Z, Bryan BA. Complex regional telecoupling between people and nature revealed via quantification of trans‐boundary ecosystem service flows. PEOPLE AND NATURE 2022. [DOI: 10.1002/pan3.10298] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Affiliation(s)
- Yanwen Wang
- School of Economics and Management China University of Geosciences Wuhan China
- School of Resource and Environmental Sciences Wuhan University Wuhan China
- Centre for Integrative Ecology Deakin University Melbourne Vic Australia
| | - Song Hong
- School of Resource and Environmental Sciences Wuhan University Wuhan China
| | - Jinzhu Wang
- Centre for Integrative Ecology Deakin University Melbourne Vic Australia
- Deakin‐SWU Joint Research Centre on Big Data Faculty of Science, Engineering and Built Environment Deakin University Melbourne Vic Australia
| | - Jingyu Lin
- Centre for Integrative Ecology Deakin University Melbourne Vic Australia
- Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds School of Ecology, Environment and Resources Guangdong University of Technology Guangzhou China
| | - Hang Mu
- School of Resource and Environmental Sciences Wuhan University Wuhan China
| | - Liyuan Wei
- School of Resource and Environmental Sciences Wuhan University Wuhan China
| | - Zhen Wang
- College of Resources and Environment Huazhong Agricultural University Wuhan China
| | - Brett A. Bryan
- Centre for Integrative Ecology Deakin University Melbourne Vic Australia
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