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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
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A bibliometric analysis of mountain ecosystem services, 2000-2019
Wenhao Liu1,2, Zengru Wang3, Ren Li4,5
1Cryosphere Research Station on the Qinghai-Tibet Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China. liuwh@llas.ac.cn.
Environmental Science and Pollution Research International
|October 15, 2021
Summary
Research on mountain ecosystem services (MES) is rapidly growing, with a focus on climate change and human impacts. Future research should prioritize assessing MES capacity and value, integrating natural and social sciences.
Area of Science:
- Environmental Science
- Ecology
- Geography
Background:
- Mountain ecosystem services (MES) research is gaining traction due to climate change and human activities.
- Understanding research trends is crucial for advancing the field.
Purpose of the Study:
- To analyze research hotspots and frontiers in MES.
- To identify key research forces, journals, papers, and topics.
- To provide a comprehensive visualization of MES research trends.
Main Methods:
- Bibliometric analysis
- Text mining
- Keyword analysis
Main Results:
- Rapid increase in publications from 2015-2019, but declining citation impact.
- USA, UK, and China lead in publications; top institutions include Univ Maryland, Univ Oxford, and Univ Wisconsin.
- PNAS, WETLANDS, and ECOLOGY AND SOCIETY are highly cited journals; growth in OA publications.
- Keywords reveal a trend towards integrating natural and humanities sciences.
- Research hotspots include water, forest, and land resources, with a future focus on MES capacity and value assessment.
Conclusions:
- MES research is expanding, with a notable shift towards interdisciplinary approaches.
- The field is evolving, with a growing emphasis on the assessment of ecosystem service capacity and value.
- This study provides a foundational analysis for future MES research directions.
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