GoPubMed.org is an amazing piece of search architecture. It is a knowledge-based search engine for biomedical texts based on GO (gene ontology) and Medical Subject Headings (MeSH) developed in 2004. GoPubMed retrieves PubMed abstracts for your search query and sorts relevant information into the categories of ‘What, Who, Where or When’.
The ‘What’ category collates abstracts according to the concept hierarchies of GO and MeSH – providing a combined search across the fields of molecular biology and medicine.
GO describes gene and gene products in different organisms
MeSH categroy describes Anatomy, Biological Sciences, Chemical and Drugs, Diseases, Health Care, Natural Sciences, Organisms, Psychiatry and Psychology, Techniques and Equipment, Named Groups, Technology, Industry, Agriculture
The ‘Who’ category helps you identify journal article authors and leading scientists within specific biomedical areas. Allows user to find top authors for a query or specific authors. Complex disambiguation algorithm relates papers published, field of expertise, name and associated authors to reveal the ‘most relevant’ results. This approach leads to impressive accuracy and if at any point the system is not correct, it can be corrected by the users.
The ‘Where’ category provides information about geographic localization of people, research centres, universities, as well as journals in which found papers were published.
The ‘When’ category is the citations time machine.
I love this search engine. Iteration is simple, effective and dynamic. From the 3 million plus authors and the 15 million plus articles within PubMed this engine gives the most time-effective result return. To ‘drill’ deeper within the data-set is highly productive and the relevance of query return of a very high quality indeed.
Best Features
- Great visual features
- Relevance of results
- Simplicity of refining search results
- Guaranteed peer reviewed texts returned (PubMed)
- Combined GO and MeSH stratification system
- Simple and unobtrusive highlighting
- Much simpler than PubMed to create the linking feed
GoPubMed contains a vast array of powerful features to assist in defining the most accurate set of search results from the medical literature and is best explained in a video demonstration
Read more wonderful explanations of ontological and semantic search derivation as applied to medical science at GoPubMed.com. Another really interesting read is on AltSearchEngines.com – an interview with the GoPubMed founder Dr Michael Alvers from AltSearchEngine interview.
Other reviews from blogs and the literature can be found here
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About Mike Cadogan
[...] first post – the first Life in the Fast lane post was back in September 2008. it was a review of GoPubMed.org as a semantic search engine for PubMed articles. On the day it was published it was viewed by 4 [...]