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Updated: May 21, 2026
05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Aggregating post-publication peer reviews and ratings.
1Romanian Institute of Science and Technology Cluj-Napoca, Romania.
Frontiers in Computational Neuroscience
|June 5, 2012
Summary
Scientists can improve research funding decisions by rating publications they read. Aggregating these reviews in an online database can revolutionize scientific evaluation and encourage participation through a public review portfolio.
Area of Science:
- Bibliometrics
- Scientometrics
- Research Evaluation
Background:
- Research funding allocation relies on publication reviews, often lacking domain specialists.
- Valuable evaluative insights from scientists reading numerous articles are currently lost.
- Existing peer review systems face challenges in scope and scale.
Purpose of the Study:
- To propose an online database for aggregating scientist reviews and ratings of publications.
- To suggest a system encouraging review submission via a public, anonymized review portfolio.
- To provide quantitative estimates for review and rating generation.
Main Methods:
- Conceptual framework for an aggregated online review database.
- Proposal for a scientist review portfolio system.
- Quantitative estimation of obtainable reviews and ratings.
Main Results:
- The proposed system can capture lost evaluative information from scientists' reading habits.
- An aggregated database can significantly enhance research evaluation processes.
- A review portfolio system can incentivize participation while maintaining anonymity.
Conclusions:
- Aggregating scientist reviews offers a novel approach to revolutionize research funding evaluations.
- The proposed system can leverage existing reading behaviors to generate valuable data.
- This method enhances the efficiency and scope of scientific evaluation.
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