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10.5489/cuaj.3322 http://scihub22266oqcxt.onion/10.5489/cuaj.3322 C4771557!4771557!26977205     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 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 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 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 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Can+Urol+Assoc+J 2016 ; 10 (1-2): 39-44 Nephropedia Template TP {{tp|p=26977205|t=2016. Qualitative Twitter analysis of participants, tweet strategies, and tweet content at a major urologic conference |pdf=|usr=}}{{26977205}} gab.com Text Qualitative Twitter analysis of participants, tweet strategies, and tweet content at a major urologic conference JO: Can Urol Assoc J http://www.kidney.de/pget.php?&tw=1&pmid=26977205 #FOAvip Introduction:: The microblogging social media platform Twitter is increasingly being adopted in the urologic field. We aimed to analyze participants, tweet strategies, and tweet content of the Twitter discussion at a urologic conference. Methods:: A comprehensive analysis of the Twitter activity at the European Association of Urology Congress 2013 (#eau2013) was performed, including characteristics of user profiles, engagement and popularity measurements, characteristics and timing of tweets, and content analysis. Results:: Of 218 Twitter contributors, doctors (45%) were the most frequent, ahead of associations (15%), companies (10%), and journals (3%). However, journals had the highest tweet/participant rate (22 tweets/participant), profile activity (median: 1177, total tweets, 1805 followers, 979 following), and profile popularity (follower/following ratio: 2.1; retweet rank percentile: 96%). Links in a profile were associated with higher engagement (p<0.0001) and popularity (p<0.0001). Of 1572 tweets, 57% were original tweets, 71% contained mentions, 20% contained links, and 25% included pictures. The majority of tweets (88%) were during conference hours, with an average of 24.7 tweets/hour and a peak activity of 71 tweets/hour. Overall, 59% of tweets were informative, led by the topics uro-oncology (21%), urologic research (21%), and urotechnology (12%). Limitations include the analysis of a single conference analysis, assessment of global profile and not domain-specific activity, and the rapid evolution in Twitter-using habits. Conclusion:: Results of this single conference qualitative analysis are promising for an enrichment of the scientific discussions at urologic conferences through the use of Twitter. Twit Text FOAVip Qualitative Twitter analysis of participants, tweet strategies, and tweet content at a major urologic conference ????Can Urol Assoc J http://www.kidney.de/pget.php?&tw=1&pmid=26977205 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26977205 #FOAvip English Wikipedia <ref>{{Cite pmid|26977205}}</ref> Qualitative Twitter analysis of participants, tweet strategies, and tweet content at a major urologic conference #MMPMID26977205 Borgmann H; Woelm JH; Merseburger A; Nestler T; Salem J; Brandt MP; Haferkamp A; Loeb S Can Urol Assoc J 2016[Jan]; 10 (1-2): 39-44 PMID26977205show ga Introduction:: The microblogging social media platform Twitter is increasingly being adopted in the urologic field. We aimed to analyze participants, tweet strategies, and tweet content of the Twitter discussion at a urologic conference. Methods:: A comprehensive analysis of the Twitter activity at the European Association of Urology Congress 2013 (#eau2013) was performed, including characteristics of user profiles, engagement and popularity measurements, characteristics and timing of tweets, and content analysis. Results:: Of 218 Twitter contributors, doctors (45%) were the most frequent, ahead of associations (15%), companies (10%), and journals (3%). However, journals had the highest tweet/participant rate (22 tweets/participant), profile activity (median: 1177, total tweets, 1805 followers, 979 following), and profile popularity (follower/following ratio: 2.1; retweet rank percentile: 96%). Links in a profile were associated with higher engagement (p<0.0001) and popularity (p<0.0001). Of 1572 tweets, 57% were original tweets, 71% contained mentions, 20% contained links, and 25% included pictures. The majority of tweets (88%) were during conference hours, with an average of 24.7 tweets/hour and a peak activity of 71 tweets/hour. Overall, 59% of tweets were informative, led by the topics uro-oncology (21%), urologic research (21%), and urotechnology (12%). Limitations include the analysis of a single conference analysis, assessment of global profile and not domain-specific activity, and the rapid evolution in Twitter-using habits. Conclusion:: Results of this single conference qualitative analysis are promising for an enrichment of the scientific discussions at urologic conferences through the use of Twitter. äQualitative Twitter analysis of participants, tweet strategies, and tw(epmc).pdf DeepDyve Pubget Overpricing