This page provides an overview of the various alternative PubMed search engines that search the same content as PubMed but the results are different...
askMedline is an alternative search engine to PubMed that is a free-text, natural language (English only) query for MEDLINE/PubMed
ask MEDLINE (46,47) is designed for handling user queries in the form of questions or complex phrases in the medical setting. It was originally developed as a tool for parsing clinical questions to automatically complete the patient, intervention, comparison, outcome (PICO) form, but was later launched as a tool for the non-expert medical information seeker owing to its ability to retrieve relevant citations from parsed medical terms.
PubFocus is another way of searching PubMed by sorting by impact factor and citation volume.
PubFocus (28) sorts articles based on a hybrid of domain specific factors for ranking scientific publications: journal
impact factor, volume of forward references, reference dynamics, and authors’ contribution level.
BibliMed is another way of searching PubMed, that searched Medline articles plus biomedical books.
Once you execute that search, you’re prompted to refine further with suggestions of qualifiers and/or related MeSH terms.
PubGet searches the content of PubMed, but displays PDFs directly in search results so that users do not have to follow links in PubMed results to PubMed Central or specific journal websites to get PDFs .
QUERTLE is a recent biomedical search engine developed to search the data from PubMed. Its core concept recognition features allow users to incorporate concept categories into their searches. For instance, one of their concept categories represents all protein names, thus users can search all specific proteins as a whole. It is also claimed that they extract relationships based on the context for improving text retrieval.
GoPubMed is a search engine that allows clustering by MeSH or GO terms.
GOPubMed was originally designed to leverage the hierarchy in Gene Ontology (GO) to organize search
results, thus allowing users to quickly navigate results by GO categories. Recently, it was made capable of
sorting results into four top-level categories: what (biomedical concepts), who (author names), where (affiliations
and journals) and when (date of publications). In the what category, articles are further sorted according
to relevant GO, MeSH or UniProt concepts.