Search for articles in PubMed
The freely available literature database PubMed is the world´s largest medical database. It indexes around 5500 international biomedical journals. The search language is English.
The Library offers a special access-URL for PubMed. It enables a filtered display of the search results (e.g. Review, Clinical Trial, German) and the "Check full text" service.
MyNCBI is a free account which is connected to PubMed. You can publish your own bibliography or activate email alerts. After doing so you are informed on a regular basis about every new entry to PubMed that matches your saved search request.
Detailed information on using MyNCBI is available at MyNCBI Help.
The new online service PubMed Health focuses on clinical effectiveness of health care interventions.The most important resource for this purpose are systematic reviews, which assess the quality and summarise the results of clinical trials.
Aim and target group
The aim of the online service is the consolidation of systematic reviews of various organisations and further EBM-resources under one search interface. It provides summaries of systematic reviews, HTA-assessments and guidelines. A medical encyclopedia and medication information complete the online service.
PubMed Health is designed for patients as well as health care personnel. Hence it can it is not clearly set off against Clinical Queries (target group: doctors) and Medline Plus (target group: patients).
Further information
On the Internet you can find many tools that are based on the PubMed database. They visualize your search results or deliver statistical analysis of your search. Some choices:
- GoPubMed is an ontology-based semantical search tool. Search results are visualized by authors, countries, publication data, etc. You can refine your search by using clustered MeSH-terms.
- PubReMiner provides statistical analyses of your search results. It analyzes publication date, journals, authors and MeSH term and orders them by frequency.
- PubFocus performs statistical analyses of Medline results based on journal rank and citation information to provide a list of articles ranked by relevancy. It also uses citation information to determine the author rankings and most prolific authors.
- Kfinder uses your abstract text to suggest keywords and MeSH headings as well as authors that have written papers with those subject terms.
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