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Updated: Jun 5, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Mapping the AI life sciences landscape in Greece: a bibliometric comparison with global patterns.

Eleni Adamidi^1,2, Serafeim Chatzopoulos³, Alexandros C Dimopoulos^4,5

¹Athena Research Center, IMSI, Aigialias 19 & Chalepa, Marousi, Athens, 15125, Greece. eleni.adamidi@athenarc.gr.

Scientific Reports

|June 3, 2026

Summary

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Greece excels in artificial intelligence (AI) methodology and algorithm development within life sciences. However, the country shows less focus on patient-centered research compared to global trends.

Area of Science:

Life Sciences
Artificial Intelligence
Bibliometrics

Background:

Artificial intelligence (AI) adoption in life sciences varies globally.
Mapping AI's role in Greece's life science sector is crucial for understanding national research trends.

Purpose of the Study:

To analyze the landscape of AI in life sciences research within Greece.
To identify thematic strengths and weaknesses in Greek AI life science publications.

Main Methods:

A bibliometric analysis of 916,824 AI-related life science papers from OpenAlex and PubMed.
Publications were tagged with Medical Subject Headings (MeSH) for comparative analysis.
Greek-affiliated publications were compared against the global corpus.

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Last Updated: Jun 5, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Main Results:

Greek research is disproportionately focused on AI methodology and algorithm development.
Global research is dominated by disease-focused, organism-centered, and clinical applications.
Greece demonstrates strengths in machine learning techniques and analytical tools but is under-represented in translational research.

Conclusions:

Greece has a distinct profile in AI life sciences, excelling in foundational methods.
There is an opportunity to enhance translational and patient-centered AI research in Greece.
This study provides a comprehensive overview of AI activity in Greek life sciences.