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Contains an abstracts database and an electronic paper collection, arranged by discipline. Free Social Science Electronic Publishing, Inc. [145] Sparrho: Multidisciplinary: Sparrho is a personalised platform that allows users to discover, curate and share over 60 million scientific research articles and patents from 45k+ journals and preprint ...
Zenodo is a general-purpose open repository developed under the European OpenAIRE program and operated by CERN. [1] [2] [3] It allows researchers to deposit research papers, data sets, research software, reports, and any other research related digital artefacts.
A DOI is a type of Handle System handle, which takes the form of a character string divided into two parts, a prefix and a suffix, separated by a slash.. prefix/suffix. The prefix identifies the registrant of the identifier and the suffix is chosen by the registrant and identifies the specific object associated with that DOI.
A digital object identifier (DOI) is a unique persistent identifier to a published work, similar in concept to an ISBN. Wikipedia supports the use of DOI to link to published content. Where a journal source has a DOI, it is good practice to use it, in the same way as it is good practice to use ISBN references for book sources.
A subject based repository with a high share of working papers (preprints) >100,000 2009 ZBW - Leibniz Information Centre for Economics: ECSarXiv: Electrochemistry: A free preprint service for electrochemistry and solid state science and technology >100 2018 Center for Open Science: EdArXiv: Education: A Preprint Server For The Education ...
arch-ive/YYMMNNN for older papers, e.g. hep-th/9901001. Different versions of the same paper are specified by a version number at the end. For example, 1709.08980v1. If no version number is specified, the default is the latest version. arXiv uses a category system. Each paper is tagged with one or more categories. Some categories have two layers.
Citation context showed the context of citations to a given paper, allowing a researcher to quickly and easily see what other researchers have to say about an article of interest. Related documents were shown using citation and word based measures, and an active and continuously updated bibliography is shown for each document.
The first version of CORE was created in 2011 by Petr Knoth with the aim to make it easier to access and text mine very large amounts of research publications. [4] The value of the aggregation was first demonstrated by developing a content recommendation system for research papers, following the ideas of literature-based discovery introduced by Don R. Swanson.