Introduction to Meva, a MEDLINE Post-Processor
Meva (MEDLINE Evaluator) is a free medico-scientific data mining web service to analyse bibliographic MEDLINE data. Meva does not act as MEDLINE portal, but as post-processor.
How to use Meva? Search in PubMed as usual and save your articles in MEDLINE format to a local file. Enter file name and bibliographic fields of interest into Meva. Restrict analysis with filters or minimal frequencies or to first / last authors. After submission, Meva will return a report.
What will Meva return? Meva condenses the endless list of a MEDLINE result by presenting counts, frequency distributions, contingency tables (relations) and detailed sorted lists of selected bibliographic fields. A hierarchical MeSH tree may be displayed along with term counts and codes. Results can be delivered in HTML or in a delimited format for database imports.
A click on thein the flow chart below will lead to the respective documents:
Development reasons. The idea was born in the Institute for Med. Statistics and Epidemiology of the Technical University of Munich. The objective was to facilitate the evaluation of PubMed search results, e.g. “Which colleagues have published about that topic?” “What are the therapeutic approaches for this disease?”
A long article list from PubMed is hard to analyse, field relations are invisible. But this list is more informative than you may think!
Additional information. The Field Help tells you more about all field types usable in PubMed and Meva. FAQ, Glossary and History enlighten further aspects of usage, important terms and development of Meva.
Inquiries or comments welcome!