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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Science of science.
Santo Fortunato1,2, Carl T Bergstrom3, Katy Börner2,4
1Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA. santo@indiana.edu barabasi@gmail.com.
The science of science analyzes large datasets to understand scientific progress and create predictive models. This research informs policies to enhance scientific careers, research evaluation, and funding strategies.
Area of Science:
- Science of Science
- Transdisciplinary Research
- Scientific Enterprise Analysis
Background:
- Understanding science's evolution is crucial for effective policy design.
- Current policies can be improved through better insights into scientific progress.
Purpose of the Study:
- To review recent advancements in the science of science.
- To highlight the use of large-scale data in identifying scientific patterns.
Main Methods:
- Analysis of large-scale data on scientific production.
- Identification of universal and domain-specific patterns in science.
Main Results:
- The science of science field is rapidly developing.
- Data-driven insights can guide policy for scientific advancement.
Conclusions:
- Predictive models of science are essential for optimizing research environments.
- This field offers tools to improve scientific careers, evaluations, and funding.
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