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This article contains a representative list of notable databases and search engines useful in an academic setting for finding and accessing articles in academic journals, institutional repositories, archives, or other collections of scientific and other articles. Databases and search engines differ substantially in terms of coverage and ...
This is a list of lists of databases or databanks: List of academic databases and search engines; List of biodiversity databases; List of biological databases; List of chemical databases; List of databases for oncogenomic research; List of Drosophila databases; List of genealogy databases; List of long non-coding RNA databases; List of ...
This box searches the more than 80,000 unique periodicals provided and indexed in The Wikipedia Library's partner databases. Enter a search term in the box to find titles that contain that term, or enter the name of a particular publication in quotations (e.g., "Gestalt Review" ) to see which databases include it.
Find this article at PubMed Central, a medical database; Find this article in Paperity, a multidisciplinary aggregator of open access journals and papers; Find this article in arXiv, a database of papers in computer science, physics, and mathematics; Find this article in the Digital Commons Network, a multidisciplinary collection of scholarly ...
A bibliographic database may cover a wide range of topics or one academic field like computer science. [2] A significant number of bibliographic databases are marketed under a trade name by licensing agreement from vendors, or directly from their makers: the indexing and abstracting services. [3]
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Academic Search is a monthly indexing service. It was first published in 1997 by EBSCO Publishing in Ipswich, Massachusetts. Its academic focus is international universities, covering social science, education, psychology, and other subjects. Publishing formats covered are academic journals, magazines, newspapers, and CD-ROM. [1] [2]
Use Internet Archive scholar, CORE or another open-access search engine to look for an open version of the article. Using either the DOI, Google Scholar, or the journal's website, find out what databases index the article in full text. You can then see if either your local library or the Wikipedia Library provides access to these databases.