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PubMed: PubMed Alternative Engines

Welcome to PubMed Tutorial that is intended to provide general and basic information on how to search this resource

Aim of PubMed Alternative Engines

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.  This performs statistical analysis of the MEDLINE / PubMed search queries enriched with the additional information gathered from journal rank database and forward referencing database


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.


HubMed is an alternative interface of PubMed, mainly used as a way to keep up-to-date with the medical literature.


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.