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10.3389/frma.2021.683212 http://scihub22266oqcxt.onion/10.3389/frma.2021.683212 34109284!8184093!34109284     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Res+Metr+Anal 2021 ; 6 (ä): 683212 Nephropedia Template TP {{tp|p=34109284|t=2021. Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics |pdf=|usr=}}{{34109284}} gab.com Text Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics JO: Front Res Metr Anal http://www.kidney.de/pget.php?&tw=1&pmid=34109284 #FOAvip The COVID-19 pandemic constitutes an ongoing worldwide threat to human society and has caused massive impacts on global public health, the economy and the political landscape. The key to gaining control of the disease lies in understanding the genetics of SARS-CoV-2 and the disease spectrum that follows infection. This study leverages traditional and intelligent bibliometric methods to conduct a multi-dimensional analysis on 5,632 COVID-19 genetic research papers, revealing that 1) the key players include research institutions from the United States, China, Britain and Canada; 2) research topics predominantly focus on virus infection mechanisms, virus testing, gene expression related to the immune reactions and patient clinical manifestation; 3) studies originated from the comparison of SARS-CoV-2 to previous human coronaviruses, following which research directions diverge into the analysis of virus molecular structure and genetics, the human immune response, vaccine development and gene expression related to immune responses; and 4) genes that are frequently highlighted include ACE2, IL6, TMPRSS2, and TNF. Emerging genes to the COVID-19 consist of FURIN, CXCL10, OAS1, OAS2, OAS3, and ISG15. This study demonstrates that our suite of novel bibliometric tools could help biomedical researchers follow this rapidly growing field and provide substantial evidence for policymakers' decision-making on science policy and public health administration. Twit Text FOAVip Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics ????Front Res Metr Anal http://www.kidney.de/pget.php?&tw=1&pmid=34109284 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34109284 #FOAvip English Wikipedia <ref>{{Cite pmid|34109284}}</ref> Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics #MMPMID34109284 Wu M; Zhang Y; Grosser M; Tipper S; Venter D; Lin H; Lu J Front Res Metr Anal 2021[]; 6 (ä): 683212 PMID34109284show ga The COVID-19 pandemic constitutes an ongoing worldwide threat to human society and has caused massive impacts on global public health, the economy and the political landscape. The key to gaining control of the disease lies in understanding the genetics of SARS-CoV-2 and the disease spectrum that follows infection. This study leverages traditional and intelligent bibliometric methods to conduct a multi-dimensional analysis on 5,632 COVID-19 genetic research papers, revealing that 1) the key players include research institutions from the United States, China, Britain and Canada; 2) research topics predominantly focus on virus infection mechanisms, virus testing, gene expression related to the immune reactions and patient clinical manifestation; 3) studies originated from the comparison of SARS-CoV-2 to previous human coronaviruses, following which research directions diverge into the analysis of virus molecular structure and genetics, the human immune response, vaccine development and gene expression related to immune responses; and 4) genes that are frequently highlighted include ACE2, IL6, TMPRSS2, and TNF. Emerging genes to the COVID-19 consist of FURIN, CXCL10, OAS1, OAS2, OAS3, and ISG15. This study demonstrates that our suite of novel bibliometric tools could help biomedical researchers follow this rapidly growing field and provide substantial evidence for policymakers' decision-making on science policy and public health administration. äProfiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Int(epmc).pdf DeepDyve Pubget Overpricing