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For information on using PMIDs in Wikipedia, see Wikipedia:PMID. For the Wikipedia template to link to PubMed entries, see Template:PMID PubMed is provided by the United States National Library of Medicine. PubMed is a free search engine for accessing the MEDLINE database of citations, abstracts and some full text articles on life sciences and biomedical topics. The United States National Library of Medicine at the National Institutes of Health maintains PubMed as part of the Entrez information retrieval system. Listing an article or journal in PubMed is not endorsement. In addition to MEDLINE, PubMed also offers access to
Many PubMed citations contain links to full text articles which are freely available, often in the PubMed Central digital library. In late 2007, President George W. Bush signed the Consolidated Appropriations Act of 2007 (H.R. 2764) into law; this law included a provision requiring the NIH to modify its policies and require inclusion into PubMed Central complete electronic copies of their peer-reviewed research and findings from its funded research. This is the first time the US government has required an Agency to provide open access to research and is an evolution from the 2005 policy, in which the NIH asked researchers to voluntarily add their research to PubMed Central.[1] With an effective date of April 7, 2008, the Department of Health and Human Services has given notice: "The Director of the National Institutes of Health shall require that all investigators funded by the NIH submit or have submitted for them to the National Library of Medicine’s PubMed Central an electronic version of their final, peer-reviewed manuscripts upon acceptance for publication, to be made publicly available no later than 12 months after the official date of publication: Provided, That the NIH shall implement the public access policy in a manner consistent with copyright law."[2] PubMed is one of a number of search engines through which it is possible to search the MEDLINE database; the National Library of Medicine also leases the MEDLINE information to a number of private vendors such as Ovid and SilverPlatter – as well as many other vendors. PubMed has been available free on the Internet since the mid-1990s. Information about the journals indexed in PubMed is found in its Journals Database, searchable by subject or journal title, Title Abbreviation, the NLM ID (NLM's unique journal identifier), the ISO abbreviation, and both the print and electronic International Standard Serial Numbers (pISSN and eISSN). The database includes all journals in all Entrez databases. As of 16 July 2009[update], PubMed has approximately 19,000,000 citations going back to the year 1865.[3] To see the current size of the database simply type "1800:2100[dp]" into the search bar and click "go".
[edit] Searching PubMed
[edit] Comprehensive searchFor comprehensive, optimal searching in PubMed, it is necessary to have a thorough understanding of its core component, MEDLINE, and especially of the MeSH (Medical Subject Headings) controlled vocabulary used to index MEDLINE articles.
[edit] Quick searchQuick, simple telegram-style search formulations can also be used, and they generally produce acceptable results.[4] PubMed automatically links textwords to relevant MeSH terms. Aspects of the question can then be added successively, in a Google-like fashion, until a number of ‘hits’ judged manageable is achieved. No knowledge of actual MeSH terms, Boolean operators, English or American spelling, ‘nesting’, or record-fields is required. PubMed’s intelligent search algorithm does (or implies) this in the background. Examples of such simple telegram-style questions and results they produce on PubMed:
Telegram-style question in PubMed search window: radial head fractures randomized Result: 9 records found, one[5] judged highly relevant
Telegram-style question in PubMed search window: glasziou fractures bmj 2007 Result: 1 record (the target) found[6]
Telegram-style question in PubMed search window: vitreous body time death review Result: 8 records found, several relevant, e.g. Madea/Rödig (2006)[7] [edit] Clinical Queries / Systematic ReviewsA special feature of PubMed is the ‘Clinical Queries’ and ‘Systematic Reviews’ option which can be used to identify more relevant (robust) studies by automatically applying ‘quality filters’ to be applied to each search. [edit] Related ArticlesAfter a quick search, references which are judged particularly relevant can be marked and 'related articles' can be identified. If relevant, several studies can be selected and 'related articles' to all of them can be generated. The 'related articles' are then listed on order or 'relatedness' (not chronological order). To create the list of 'Related Articles' PubMed compares words from the Title and Abstract of each citation, as well as the MeSH headings assigned, using a powerful word-weighted algorithm [8]. [edit] Mapping to MeSH (headings) and SubheadingsA strong feature of PubMed is its ability to automatically link to Medical Subject Headings (MeSH) and Subheadings. Examples would be: 'bad breath' links to (and includes in the search) 'Halitosis', 'Writers cramp' to 'focal dystonia', 'breast cancer' to 'breast neoplasms'. Where appropriate, these MeSH terms are automatically 'expanded'. Terms like ‘nursing’ are automatically linked to 'Nursing [Mesh]' or 'Nursing [Subheading]'. This important feature makes PubMed searches automatically more sensitive and avoids false-negative (missed) hits by compensating for the diversity of medical terminology. [edit] Searching with tags and Boolean operators[edit] Tags(For a complete list of tags, see Search Field Descriptions and Tags) Search-field tags can be used for searching PubMed, some of the most common being:
It should be noted that using field qualifiers automatically disables PubMed's 'mapping' function. - Note also with the [dp] tag that this searches for publications by both online publication date and print date. Therefore one paper can be associated with two publication years. For example "Schizophrenia 2007[dp]" will return some of the same papers as "Schizophrenia 2008[dp]". [edit] Boolean operatorsThere are three Boolean operators: AND (intersection); OR (union); NOT (exclusion). NOT should be used with care as it may generate 'false-negative' results. For example:
will yield a single reference, and is the equivalent of
whereas
will yield hundreds of thousands of articles, including all article published in 1981, all articles in PNAS (Proceedings of the National Academy of Sciences) and all articles by K.E. Drexler. All Boolean operators are processed in a left-to-right sequence. The order in which PubMed processes a search statement can be changed by enclosing concepts in parentheses. The terms inside the parentheses are processed first as a unit and then incorporated into the overall strategy. For example:
is processed by ORing the search (response element OR promoter) first and then ANDing the resulting set of documents with g1p3. [edit] Alternative interfacesThe new PubMed interface, launched in October 2009, with its simple search window, encourages focused search formulations (instead of complex search strategies) when appropriate. It may disourage use of some of the alternative interfaces listed below which offered this simple search option at their opening search page.
[edit] See also
[edit] References
[edit] External links
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