To browse other articles on a range of HSL topics, see the A-Z index.
GoPubMed is a knowledge-based semantic browsing tool for the life sciences. GoPubMed searches all citations in PubMed for occurrences of a disease, compound name, or gene, and displays / categorizes results to help you visualize major biomedical concepts for the query. Its statistical features show you how your topic is trending such as top authors, publications over time, and a world map showing where publications originate. The Gene Ontology (GO) and Medical Subject Headings (MeSH) serve as a "Table of contents" to structure articles in the display. The search engine allows users to find relevant results in biomedical texts faster than through PubMed alone. The technology used in GoPubMed is applied to texts in order to mine them. Developed at the Technical University of Dresden by Michael Schroeder and Transinsight, GoPubMed has been called one of the first web 2.0 and semantic search engines.
What GoPubMed does to expand a search query is add 'ontologies' or categories to how articles are displayed. As mentioned, the Medical Subject Headings (MeSH) and the Gene Ontology (GO) are used by GoPubMed to identify the interrelatedness of articles. The statistics feature is a semanto-bibliometric analysis of search results. After conducting your search, see the “Statistics” tab to view bar graphs, charts and visual representations of top authors, top countries, top cities, top journals, and so on.
Results in GoPubMed can be filtered by:
Alternative, data-mining tools