MEDLINE Alternatives

Identifies MeSH Terms in your text using the NLM Medical Text Indexer (MTI) program. After processing, MeSH on Demand returns a list of MeSH Terms relevant to your text.

A MeSH analysis grid can help identify the problems in your search strategy by presenting the ways articles are indexed in the MEDLINE database in an easy-to-scan tabular format. Typically, each column in the grid represents an article, with identifying information of the article at the top of the column, such as the PMID, the author, and the year of publication. The MeSH terms are sorted and grouped alphabetically for ease of scanning. You can then easily scan the grid and identify appropriate MesH terms, term variants, indexing consistency, and the reasons why some articles are retrieved and others are not. This inevitably leads to fresh iterations of the search strategy to include missing important terms.

A front-end for the popular PubMed literature database at the NCBI. When you submit your query (which can be any query that can be processed by PubMed), PubReMiner will process the result of that query and display its results (in the form of selectable "keywords") in frequency tables, which can be added/excluded from the query to optimize the results.

A software tool for constructing and visualizing bibliometric networks. These networks may for instance include journals, researchers, or individual publications, and they can be constructed based on co-citation, bibliographic coupling, or co-authorship relations. VOSviewer also offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature.

A software tool for constructing and visualizing bibliometric networks. These networks may for instance include journals, researchers, or individual publications, and they can be constructed based on co-citation, bibliographic coupling, or co-authorship relations.

Searches PubMed literature database (abstracts) about specific relationships between proteins, genes, or keywords. The results are returned as a graph.

A front-end for the popular PubMed literature database at the NCBI. When you submit your query (which can be any query that can be processed by PubMed), PubReMiner will process the result of that query and display its results (in the form of selectable "keywords") in frequency tables, which can be added/excluded from the query to optimize the results.