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《2016 至 2019 年全球专业虚拟社区——女性心脏病学 Twitter 网络分析》

Women in Cardiology Twitter Network: An Analysis of a Global Professional Virtual Community From 2016 to 2019.

机构信息

Department of Internal Medicine University of California Los Angeles CA.

Division of Cardiology Department of Medicine University of California Los Angeles CA.

出版信息

J Am Heart Assoc. 2021 Feb;10(5):e019321. doi: 10.1161/JAHA.120.019321. Epub 2021 Feb 23.

DOI:10.1161/JAHA.120.019321
PMID:33619976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8174265/
Abstract

Background Social media is an effective channel for the advancement of women physicians; however, its use by women in cardiology has not been systematically studied. Our study seeks to characterize the current Women in Cardiology Twitter network. Methods and Results Six women-specific cardiology Twitter hashtags were analyzed: #ACCWIC (American College of Cardiology Women in Cardiology), #AHAWIC (American Heart Association Women in Cardiology), #ilooklikeacardiologist, #SCAIWIN (Society for Cardiovascular Angiography and Interventions Women in Innovations), #WomeninCardiology, and #WomeninEP (Women in Electrophysiology). Twitter data from 2016 to 2019 were obtained from Symplur Signals. Quantitative and descriptive content analyses were performed. The Women in Cardiology Twitter network generated 48 236 tweets, 266 180 903 impressions, and 12 485 users. Tweets increased by 706% (from 2083 to 16 780), impressions by 207% (from 26 755 476 to 82 080 472), and users by 440% (from 796 to 4300), including a 471% user increase internationally. The network generated 6530 (13%) original tweets and 43 103 (86%) amplification tweets. Most original and amplification tweets were authored by women (81% and 62%, respectively) and women physicians (76% and 52%, respectively), with an increase in original and amplification tweets authored by academic women physicians (98% and 109%, respectively) and trainees (390% and 249%, respectively) over time. Community building, professional development, and gender advocacy were the most common tweet contents over the study period. Community building was the most common tweet category for #ACCWIC, #AHAWIC, #ilooklikeacardiologist, #SCAIWIN, and #WomeninCardiology, whereas professional development was most common for #WomeninEP. Conclusions The Women in Cardiology Twitter network has grown immensely from 2016 to 2019, with women physicians as the driving contributors. This network has become an important channel for community building, professional development, and gender advocacy discussions in an effort to advance women in cardiology.

摘要

背景

社交媒体是推动女医生发展的有效渠道;然而,女性在心脏病学领域的使用尚未得到系统研究。我们的研究旨在描述当前的 Women in Cardiology Twitter 网络。

方法和结果

分析了六个女性特定的心脏病学 Twitter 标签:#ACCWIC(美国心脏病学院女性心脏病学)、#AHAWIC(美国心脏协会女性心脏病学)、#ilooklikeacardiologist、#SCAIWIN(心血管血管造影和介入学会女性创新)、#WomeninCardiology 和#WomeninEP(电生理学中的女性)。从 2016 年到 2019 年,从 Symplur Signals 获得了 Women in Cardiology Twitter 数据。进行了定量和描述性内容分析。Women in Cardiology Twitter 网络生成了 48,236 条推文、266,180,903 次展示和 12,485 名用户。推文增加了 706%(从 2083 到 16,780),展示增加了 207%(从 26,755,476 到 82,080,472),用户增加了 440%(从 796 到 4300),其中国际用户增加了 471%。网络生成了 6530 条(13%)原始推文和 43,103 条(86%)放大推文。大多数原始和放大推文都是由女性(分别为 81%和 62%)和女性医生(分别为 76%和 52%)撰写的,学术女性医生(分别为 98%和 109%)和学员(分别为 390%和 249%)撰写的原始和放大推文有所增加随着时间的推移。研究期间,社区建设、专业发展和性别宣传是最常见的推文内容。社区建设是#ACCWIC、#AHAWIC、#ilooklikeacardiologist、#SCAIWIN 和#WomeninCardiology 中最常见的推文类别,而专业发展是#WomeninEP 中最常见的推文类别。

结论

从 2016 年到 2019 年,Women in Cardiology Twitter 网络发展迅速,女性医生是主要贡献者。该网络已成为一个重要的渠道,用于社区建设、专业发展和性别宣传讨论,以推动女性在心脏病学领域的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/aa9195f69460/JAH3-10-e019321-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/6dd5608fea3f/JAH3-10-e019321-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/5aede99a091e/JAH3-10-e019321-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/74e80adba2e4/JAH3-10-e019321-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/8c459902946b/JAH3-10-e019321-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/aa9195f69460/JAH3-10-e019321-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/6dd5608fea3f/JAH3-10-e019321-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/5aede99a091e/JAH3-10-e019321-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/74e80adba2e4/JAH3-10-e019321-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/8c459902946b/JAH3-10-e019321-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac68/8174265/aa9195f69460/JAH3-10-e019321-g003.jpg

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