![]() Mostly computer science and biomedical publications. Mainly Computer science, Statistics, Mathematics. The table is sorted by the number of works for which full-text is made available.įocus on fulltext search of open access journals and conference proceedingsĪ full text aggregator of all open access papers from repositories (institutional, subject, preprints, etc.) and journals. This list focuses on general-purpose services OpenDOAR can be used to find thousands open-access repositories. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available. The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. ![]() You can help by adding missing items with reliable sources. This is a dynamic list and may never be able to satisfy particular standards for completeness. Notably, Google Scholar does not offer such detail, but the database's size has been calculated. The database itself should be the primary source of statistics, and if it is not accessible, the independent estimates released as journal papers should be. The "Size" column denotes the number of documents (articles, publications, datasets, preprints) rather than the number of citations or references. Furthermore, some programs are only partly free (for example, accessing abstracts or a small number of items), whereas complete access is prohibited (login or institutional subscription required). The terms "free", "subscription", and "free & subscription" will refer to the availability of the website as well as the journal articles used. the article about bibliographic databases for information about databases giving bibliographic information about finding books and journal articles.the general list of search engines for all-purpose search engines that can be used for academic purposes.As the distinction between a database and a search engine is unclear for these complex document retrieval systems, see: ![]() Users need to account for qualities and limitations of databases and search engines, especially those searching systematically for records such as in systematic reviews or meta-analyses. Databases and search engines differ substantially in terms of coverage and retrieval qualities. 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.
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