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A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/s41597-022-01298-2 http://scihub22266oqcxt.onion/10.1038/s41597-022-01298-2 35803947!9263802!35803947     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Data 2022 ; 9 (1): 389 Nephropedia Template TP {{tp|p=35803947|t=2022. COVIDPUBGRAPH: A FAIR Knowledge Graph of COVID-19 Publications |pdf=|usr=}}{{35803947}} gab.com Text COVIDPUBGRAPH: A FAIR Knowledge Graph of COVID-19 Publications JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=35803947 #FOAvip The rapid generation of large amounts of information about the coronavirus SARS-CoV-2 and the disease COVID-19 makes it increasingly difficult to gain a comprehensive overview of current insights related to the disease. With this work, we aim to support the rapid access to a comprehensive data source on COVID-19 targeted especially at researchers. Our knowledge graph, COVIDPUBGRAPH, an RDF knowledge graph of scientific publications, abides by the Linked Data and FAIR principles. The base dataset for the extraction is CORD-19, a dataset of COVID-19-related publications, which is updated regularly. Consequently, COVIDPUBGRAPH is updated biweekly. Our generation pipeline applies named entity recognition, entity linking and link discovery approaches to the original data. The current version of COVIDPUBGRAPH contains 268,108,670 triples and is linked to 9 other datasets by over 1 million links. In our use case studies, we demonstrate the usefulness of our knowledge graph for different applications. COVIDPUBGRAPH is publicly available under the Creative Commons Attribution 4.0 International license. Twit Text FOAVip COVIDPUBGRAPH: A FAIR Knowledge Graph of COVID-19 Publications ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=35803947 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35803947 #FOAvip English Wikipedia <ref>{{Cite pmid|35803947}}</ref> COVIDPUBGRAPH: A FAIR Knowledge Graph of COVID-19 Publications #MMPMID35803947 Pestryakova S; Vollmers D; Sherif MA; Heindorf S; Saleem M; Moussallem D; Ngomo AN Sci Data 2022[Jul]; 9 (1): 389 PMID35803947show ga The rapid generation of large amounts of information about the coronavirus SARS-CoV-2 and the disease COVID-19 makes it increasingly difficult to gain a comprehensive overview of current insights related to the disease. With this work, we aim to support the rapid access to a comprehensive data source on COVID-19 targeted especially at researchers. Our knowledge graph, COVIDPUBGRAPH, an RDF knowledge graph of scientific publications, abides by the Linked Data and FAIR principles. The base dataset for the extraction is CORD-19, a dataset of COVID-19-related publications, which is updated regularly. Consequently, COVIDPUBGRAPH is updated biweekly. Our generation pipeline applies named entity recognition, entity linking and link discovery approaches to the original data. The current version of COVIDPUBGRAPH contains 268,108,670 triples and is linked to 9 other datasets by over 1 million links. In our use case studies, we demonstrate the usefulness of our knowledge graph for different applications. COVIDPUBGRAPH is publicly available under the Creative Commons Attribution 4.0 International license. |*COVID-19[MESH] |Humans[MESH] |Knowledge[MESH] |Publications[MESH]COVIDPUBGRAPH: A FAIR Knowledge Graph of COVID-19 Publications (epmc).pdf DeepDyve Pubget Overpricing