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Identification and Ranking of Biomedical Informatics Researcher Citation Statistics through a Google Scholar Scraper
Allison B McCoy1, Dean F Sittig2, Jimmy Lin3
1Vanderbilt University Medical Center, Nashville, TN.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|April 21, 2020
Summary
A new website ranks biomedical informatics researchers based on citation metrics like h-index. This tool helps identify leaders and aids evaluation for academic advancement.
Area of Science:
- Biomedical Informatics
- Bibliometrics
- Scholarly Communication
Background:
- Existing scientific productivity ranking services have limitations.
- Evaluating researchers' scholarly output requires robust tools.
Purpose of the Study:
- To develop an automatically updating website for ranking biomedical informatics researchers.
- To facilitate the identification of leaders in citation statistics.
Main Methods:
- Created a website with four components: researcher list, Google Scholar scraper, display page, and updater.
- Implemented automatic updates for citation data.
Main Results:
- The website successfully ranks biomedical informatics researchers by citation metrics (citations, h-index, i10-index).
- Facilitated identification of leaders in scholarly productivity.
- Provided a tool for tenure and promotions committees to evaluate researchers.
Conclusions:
- The created ranking website addresses limitations of previous services.
- Highlights significant variations in scholarly productivity within biomedical informatics.
- Future work includes adding functionality and identifying top papers.
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