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Updated: Sep 6, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Establishing Institutional Scores With the Rigor and Transparency Index: Large-scale Analysis of Scientific Reporting
Joe Menke1,2, Peter Eckmann2,3, Ibrahim Burak Ozyurt2,3
1Center for Research in Biological Systems, University of California, San Diego, La Jolla, CA, United States.
The Rigor and Transparency Index (RTI) automatically assesses scientific reproducibility, showing improvements over time. However, current average scores indicate more work is needed for full replication.
Area of Science:
- Bibliometrics
- Scientific Reproducibility
- Computational Linguistics
Background:
- Manual assessment of scientific transparency is challenging.
- Improving rigor and transparency is crucial for scientific reproducibility.
Purpose of the Study:
- To enhance the Rigor and Transparency Index (RTI) for automated assessment.
- To evaluate the rigor and transparency of journals, institutions, and countries.
Main Methods:
- Utilized natural language processing (NLP) and regular expressions to analyze over 2 million papers.
- Developed RTI version 2.0 to track 27 entity types based on reproducibility guidelines.
Main Results:
- Rigor and transparency measures generally improved from 1997-2020 (RTI 2.29 to 4.13).
- Top-performing journals, institutions (e.g., Capital Medical University), and countries (e.g., Ethiopia, Norway) were identified.
- Replication studies had significantly higher RTI scores (7.61) than original papers (3.39), validating RTI as a proxy for replicability.
Conclusions:
- The enhanced RTI serves as a reliable proxy for scientific replicability.
- Current average RTI scores for journals, institutions, and countries lag behind those of replication studies.
- Further improvements in manuscript reporting are necessary to achieve target replication standards.
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