I have to use Pubmed several times every day and in most cases I have to switch to Google Scholar as I think that is really user-friendly and I can customize my search queries more easily. Although, I would love to do the same with Pubmed. Well, the Semantic MEDLINE Prototype which is a research and development project of the Cognitive Science Branch, Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine might solve my problems in the near future:
Semantic MEDLINE is a prototype Web application that summarizes MEDLINE citations returned by a PubMed search. Natural language processing is used to analyze salient content in titles and abstracts. This information is then presented in a graph that has links to the MEDLINE text processed.
Currently, the results from 35 PubMed searches (including a variety of disorders and drugs) are available to be processed. The 500 most recent citations (from the date of the search) are available for further processing by Semantic MEDLINE.
I just did a search for “Breast Cancer (clinicaltrials.gov), top 500 recruiting studies”: