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10.3390/ijerph17207690 http://scihub22266oqcxt.onion/10.3390/ijerph17207690 33096796!7593954!33096796     free     free     free 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       Int+J+Environ+Res+Public+Health 2020 ; 17 (20): ä Nephropedia Template TP {{tp|p=33096796|t=2020. Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19) |pdf=|usr=}}{{33096796}} gab.com Text Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19) JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33096796 #FOAvip BACKGROUND: The first outbreaks of the new coronavirus disease, named COVID-19, occurred at the end of December 2019. This disease spread quickly around the world, with the United States, Brazil and Mexico being the countries the most severely affected. This study aims to analyze the relationship between different publications and their authors through citation networks, as well as to identify the research areas and determine which publication has been the most cited. METHODS: The search for publications was carried out through the Web of Science database using terms such as "COVID-19" and "SARS-CoV-2" for the period between January and July 2020. The Citation Network Explorer software was used for publication analysis. RESULTS: A total of 14,335 publications were found with 42,374 citations generated in the network, with June being the month with the largest number of publications. The most cited publication was "Clinical Characteristics of Coronavirus Disease 2019 in China" by Guan et al., published in April 2020. Nine groups comprising different research areas in this field, including clinical course, psychology, treatment and epidemiology, were found using the clustering functionality. CONCLUSIONS: The citation network offers an objective and comprehensive analysis of the main papers on COVID-19 and SARS-CoV-2. Twit Text FOAVip Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19) ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33096796 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33096796 #FOAvip English Wikipedia <ref>{{Cite pmid|33096796}}</ref> Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19) #MMPMID33096796 Martinez-Perez C; Alvarez-Peregrina C; Villa-Collar C; Sanchez-Tena MA Int J Environ Res Public Health 2020[Oct]; 17 (20): ä PMID33096796show ga BACKGROUND: The first outbreaks of the new coronavirus disease, named COVID-19, occurred at the end of December 2019. This disease spread quickly around the world, with the United States, Brazil and Mexico being the countries the most severely affected. This study aims to analyze the relationship between different publications and their authors through citation networks, as well as to identify the research areas and determine which publication has been the most cited. METHODS: The search for publications was carried out through the Web of Science database using terms such as "COVID-19" and "SARS-CoV-2" for the period between January and July 2020. The Citation Network Explorer software was used for publication analysis. RESULTS: A total of 14,335 publications were found with 42,374 citations generated in the network, with June being the month with the largest number of publications. The most cited publication was "Clinical Characteristics of Coronavirus Disease 2019 in China" by Guan et al., published in April 2020. Nine groups comprising different research areas in this field, including clinical course, psychology, treatment and epidemiology, were found using the clustering functionality. CONCLUSIONS: The citation network offers an objective and comprehensive analysis of the main papers on COVID-19 and SARS-CoV-2. |*Bibliometrics[MESH] |Betacoronavirus[MESH] |Brazil[MESH] |COVID-19[MESH] |China[MESH] |Coronavirus Infections/*epidemiology[MESH] |Humans[MESH] |Mexico[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |Publishing/*trends[MESH] |SARS-CoV-2[MESH]Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID(epmc).pdf DeepDyve Pubget Overpricing