PubMed PubReminer: Detailed analysis of PubMed search results
In the vast amounts if medical literature, finding information
tailored to your needs and interest is becoming more and more complex.
Using the right keywords is essential for effective searches, but
which ones should you use?
Pubreminer is a free web-based tool that allows simple text-based
query building and information gathering (mining) of the NCBI
literature search engine PubMed. Pubreminer presents its results,
gathered from abstracts, in frequency tables of journals, authors,
words, year of publication, mesh terms, substances and countries which
subsequently be included/excluded in an iterative fashion. This
process provides you a guide through large bodies of literature
homes in on papers of your interest. Once done with refinements, you
take the query build in pubreminer and view it in PubMed with a click
of the mouse.
Next to building efficient queries, Pubreminer can also be helpful in
*Selecting a journal for your current work (by scanning the most often
used journals of similar research)
*Finding experts in a research area (by viewing the authors associated
with your query)
*Determine the research interest of an author (by viewing the keywords
associated with an author)
Recently, field subtypes (like first and last author) and toggles for
been added. Furthermore some routines have been rewritten to allow
processing of up to 10.000 abstracts for initial queries.
The Website can be accessed at :