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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 ...
RN tools facilitate collaboration and team science to address research challenges through the rapid discovery and recommendation of researchers, expertise and resources. [ 1 ] [ 2 ] RN tools differ from search engines like Google in that RN tools access information in databases and other data not limited to web pages.
Find this article at CORE, an aggregator of open-access research; 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
The databases in the table below are selected from the databases listed in the Nucleic Acids Research (NAR) databases issues and database collection and the databases cross-referenced in the UniProtKB. Most of these databases are cross-referenced with UniProt / UniProtKB so that identifiers can be mapped to each other. [15] Proteins in human:
Political science: Early research outputs in political science and related disciplines 349 2019 American Political Science Association & Cambridge University Press: mp_arc: Mathematical physics: Main focus: mathematics, physics 9779 1991 (10 July)-2023 University of Texas at Austin, Università Roma Tre, Universitat de Barcelona: arXiv [1 ...
This is a list of open-access journals by field. The list contains notable journals which have a policy of full open access. It does not include delayed open access journals, hybrid open access journals, or related collections or indexing services.
Web of Science "is a unifying research tool which enables the user to acquire, analyze, and disseminate database information in a timely manner". [7] This is accomplished because of the creation of a common vocabulary, called ontology , for varied search terms and varied data.
According to the manifesto, "Science and technology indicators are prone to conceptual ambiguity and uncertainty and require strong assumptions that are not universally accepted. The meaning of citation counts, for example, has long been debated. Thus, best practice uses multiple indicators to provide a more robust and pluralistic picture." [8]