Analysis of 12-lead electrocardiograms shared on Twitter

Introduction: A large number of electrocardiograms (ECG) are shared on Twitter every day. Some them aim to provide information the readers, and some training with a mini quiz. This study aimed discuss evaluability ECG images Twitter. Methods: The sample consisted 12-lead 08/01/2020 - 01/31/2021 were manually scanned. Results: total 286 tweets matching criteria included in specified dates. majority (n = 231. 80.5%) asked reader about ECG. average tweets' interactions was 70.42 ± 112.17, interaction mainly form "likes" (50.49 80.64). 83.5% ECGs had rhythm strip. Total numbers other parameters compared. from which small squares could be selected collected more (p 0.015). explained case or whose diagnosis clearly stated <0.001). Also, it observed that without strip contained Conclusions: We concluded 12-derivation highly evaluable. There also moderate correlation between followers interactions. For this reason, is important for accounts high following experts their field prevent pollution.