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URL: http://www.scite.ai
Proper Citation: scite (RRID:SCR_018568)
Description: Web tool to classify citation statements from scientific articles using deep learning. Used for discovering and evaluating scientific articles via Smart Citations.
Resource Type: data or information resource, service resource, software application, software resource, text extraction software
Keywords: Classify citation statement, context, text extraction, deep learning, citation context, cited claim evidence, ASWG
Funding: NIDA R44 DA050155; NSF
Availability: Restricted
Resource Name: scite
Resource ID: SCR_018568
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A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
