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Updated: Jul 14, 2026
05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
An automatic method to generate domain-specific investigator networks using PubMed abstracts
Wei Yu1, Ajay Yesupriya, Anja Wulf
1National Office of Public Health Genomics, Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA. WYu@cdc.gov
BMC Medical Informatics and Decision Making
|June 23, 2007
Summary
This study introduces a new method to build scientific collaboration networks by automatically analyzing PubMed abstracts. The system accurately identifies researchers and their affiliations, enhancing global scientific connectivity.
Area of Science:
- Biomedical Informatics
- Scientific Collaboration Networks
Background:
- Investigator collaboration is crucial for scientific advancement.
- Online resources have fostered networked research communities.
- Global collaboration requires identifying and profiling researchers.
Purpose of the Study:
- To develop a novel strategy for dynamically building investigator networks.
- To create detailed investigator profiles using PubMed abstract data.
- To enhance global scientific collaboration by identifying researchers.
Main Methods:
- Developed a strategy to automatically parse affiliation strings in PubMed records.
- Used Human Genome Epidemiology (HuGE Pub Lit) as a test case.
- Created a prototype information system indexing PubMed abstracts with controlled vocabularies.
Main Results:
- Accurately extracted country (91-97%) and institution (86-87%) information from PubMed affiliations.
- Successfully identified 70-90% of investigators in human genetics fields.
- Identified 90% of genetics investigators within an existing research network.
Conclusions:
- Successfully created a web-based prototype for domain-specific investigator networks.
- The system accurately generates detailed investigator profiles from PubMed abstracts.
- This approach can be applied to other biomedical fields to build collaboration networks.
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