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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Information Retrieval in Food Science Research: A Bibliographic Database Analysis
Tuba Karaarslan Urhan1, Hannah Gascho Rempel2, Lisbeth Meunier-Goddik1
1Dept. of Food Science and Technology, Oregon State Univ., Corvallis, OR, 97331, U.S.A.
Selecting the right electronic databases and using multiple sources is crucial for comprehensive food science research. Missing relevant articles can occur if databases are not thoroughly searched, impacting problem-solving.
Area of Science:
- Food Science
- Information Retrieval
- Bibliographic Databases
Background:
- Effective research in food science relies on efficient information retrieval.
- Electronic bibliographic databases are primary tools for accessing scientific literature.
- Assessing the quality of database selection and usage is vital for research outcomes.
Purpose of the Study:
- To evaluate the importance of electronic bibliographic database selection in food science research.
- To compare the coverage and overlap of commonly used databases for food science literature.
- To demonstrate the impact of database selection on information retrieval through a case study.
Main Methods:
- Comparison of six recommended databases based on journal coverage and overlap.
- Evaluation of databases for indexing food science journals and article depth.
- Application of a case study on bile acid/dietary fiber interactions to assess database utility.
Main Results:
- Databases varied significantly in disciplinary breadth, total journals indexed, and food science journal coverage.
- Each database contained unique citations not found in others.
- Over half of the articles retrieved in the case study were unique to a single database.
Conclusions:
- Thoughtful selection of electronic databases is essential for food science research.
- Utilizing multiple databases significantly enhances the comprehensiveness of literature searches.
- Informed database usage is critical for effective knowledge assessment and problem-solving in food science.
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