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10.1093/jamiaopen/ooab104 http://scihub22266oqcxt.onion/10.1093/jamiaopen/ooab104 34927002!8672931!34927002     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34927002&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       JAMIA+Open 2021 ; 4 (4): ooab104 Nephropedia Template TP {{tp|p=34927002|t=2021. A term-based and citation network-based search system for COVID-19 |pdf=|usr=}}{{34927002}} gab.com Text A term-based and citation network-based search system for COVID-19 JO: JAMIA Open http://www.kidney.de/pget.php?&tw=1&pmid=34927002 #FOAvip The COVID-19 pandemic resulted in an unprecedented production of scientific literature spanning several fields. To facilitate navigation of the scientific literature related to various aspects of the pandemic, we developed an exploratory search system. The system is based on automatically identified technical terms, document citations, and their visualization, accelerating identification of relevant documents. It offers a multi-view interactive search and navigation interface, bringing together unsupervised approaches of term extraction and citation analysis. We conducted a user evaluation with domain experts, including epidemiologists, biochemists, medicinal chemists, and medicine students. In general, most users were satisfied with the relevance and speed of the search results. More interestingly, participants mostly agreed on the capacity of the system to enable exploration and discovery of the search space using the graph visualization and filters. The system is updated on a weekly basis and it is publicly available at http://www.nactem.ac.uk/cord/. Twit Text FOAVip A term-based and citation network-based search system for COVID-19 ????JAMIA Open http://www.kidney.de/pget.php?&tw=1&pmid=34927002 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34927002 #FOAvip English Wikipedia <ref>{{Cite pmid|34927002}}</ref> A term-based and citation network-based search system for COVID-19 #MMPMID34927002 Zerva C; Taylor S; Soto AJ; Nguyen NTH; Ananiadou S JAMIA Open 2021[Oct]; 4 (4): ooab104 PMID34927002show ga The COVID-19 pandemic resulted in an unprecedented production of scientific literature spanning several fields. To facilitate navigation of the scientific literature related to various aspects of the pandemic, we developed an exploratory search system. The system is based on automatically identified technical terms, document citations, and their visualization, accelerating identification of relevant documents. It offers a multi-view interactive search and navigation interface, bringing together unsupervised approaches of term extraction and citation analysis. We conducted a user evaluation with domain experts, including epidemiologists, biochemists, medicinal chemists, and medicine students. In general, most users were satisfied with the relevance and speed of the search results. More interestingly, participants mostly agreed on the capacity of the system to enable exploration and discovery of the search space using the graph visualization and filters. The system is updated on a weekly basis and it is publicly available at http://www.nactem.ac.uk/cord/. äA term-based and citation network-based search system for COVID-19 (epmc).pdf DeepDyve Pubget Overpricing