Anne O’Tate: This search tool will help you gain an overview of the set of articles (up to 25,000 most recent articles) retrieved by a PubMed query. Once you enter a query, you can select different types of summary information to view.
March 7, 2008
LitMiner – Literature Data Mining Tool
LitMiner is a literature data mining tool that is based on the annotation of key terms in article abstracts followed by statistical co-citation analysis of annotated key terms in order to predict relationships. Key terms belonging to four different categories are used for the annotation process:
- Genes: Names of genes and gene products. Gene name recognition is based on Ensembl . Synonyms and aliases are resolved.
- Chemical Compounds: Names of chemical compounds and their respective aliases.
- Diseases and Phenotypes: Names of diseases and phenotypes
- Tissues and Organs: Names of tissues and organs
PubFocus – Automates analysis of MEDLINE/PubMed
PubFocus web server automates analysis of MEDLINE/PubMed search queries by enriching them with two widely used human factor-based bibliometric indicators of publication quality: journal impact factor and volume of forward references. In addition to providing basic volumetric statistics, PubFocus also prioritizes citations and evaluates authors impact on the field of search. PubFocus also analyses presence and occurrence of biomedical key terms within citations by utilizing controlled vocabularies.
FABLE = “Fast Automated Biomedical Literature Extraction” Tool
FABLE = “Fast Automated Biomedical Literature Extraction”
FABLE mines the biomedical literature for information about human genes and proteins. FABLE v2 allows a user to find articles mentioning a gene of interest (Article Finder), or to generate a list of genes associated with one or more keywords (Gene Lister).
ExpertMapper – Bibliometric Analysis of MEDLINE data
ExpertMapper examines all medical publications that are indexed in the National Library of Medicine’s MEDLINE database. We rank the expertise of each author according to the number and type of articles that each expert has authored on the specific condition, disease, or treatment of interest to you.
eTBLAST – similarity-based scientific search engine
eTBLAST: A text similarity-based engine for searching biomedical literature collections. While PubMed searches for “keywords”, eTBLAST search engine lets you input an entire paragraph and returns MEDLINE abstracts that are similar to it.
PubViz – Medline Tool
PubViz is developed to provide the capability of utilizing external knowledge as well as interactive visual query functions for more efficient exploration of the Medline database. The current version has the ability to utilize protein-protein interaction data during Medline search and enable researchers to identify functionally related Medline records not retrievable in existing search engines. It can also utilize the structure relationship of different type of genetic markers including cytobands, microsatellite/STS markers, SNPs and genes derived from human genome assembly and HapMap data for deep search of genetically related Medline records. We include many visualization functions in PubViz, such as interactive PMID, MeSH, Gene views, the transition between different views, selection of node description display on network graph, as well as details of abstract and sorting/filtering functions. The combination of these novel capabilities will make PubViz a powerful tool for Medline exploration.
Link to medical articles on PubMed using PMIDs (PubMed Identifiers)
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Get abstracts for both PMID 2676911 and PMID 6189501:
http://pmid.us/2676911+6189501 -
Get the full text article for PMID 10221304:
http://pmid.us/full:10221304
Full text retrieval priority: PMC > publisher (free) > FindArticles > publisher (fee) > abstract -
Get related articles for PMID 10221304:
http://pmid.us/rel:10221304 -
Search for anything (you must escape non-url-friendly characters):
http://pmid.us/alopecia+minoxidil
http://pmid.us/(alopecia+OR+baldness+OR+%22hair+loss%22)+AND+(tnf-alpha+OR+tgf-beta)
MEDIE – Biomedical Research Made Easy
MEDIE is an intelligent search engine to retrieve biomedical correlations from MEDLINE. You can find abstracts/sentences in MEDLINE by specifying semantics of correlations; for example, “What activates p53″ and “What causes colon cancer”.
Semantic search is to use a semantic query for finding biomedical correlations. Input a subject, a verb, and an object of a concept (or either of them) into a form.
