ArticleJournal of the American Heart Association2021
Women in Cardiology Twitter Network: An Analysis of a Global Professional Virtual Community From 2016 to 2019.
Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Development, Implementation, and Evaluation of a Virtual MedTwitter Curriculum for Medical Students.Medical science educator · 2024Article
- Audience reconstructed: social media interaction by BTS fans during live stream concerts.Frontiers in psychology · 2024Article
- A Scoping Review of Physician Advocacy on Twitter.Cureus · 2023Article
- Social Media and Cardiovascular Health: Implications for Women.Current atherosclerosis reports · 2022Review
- Social Media: Flattening Hierarchies for Women and Black, Indigenous, People Of Color (BIPOC) to Enter the Room Where It Happens.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022Article
- Digital Strategy and Social Media for Infectious Diseases.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022Article
- Starting a Research Career in Cardiology: Advice for Fellows in Training and Early-Career Cardiologists.Methodist DeBakey cardiovascular journal · 2022Review
- Effects of Professional Virtual Community Attributes and Flow Experience on Information Sharing Among Chinese Young Netizens: A Fuzzy-Set QCA.Psychology research and behavior management · 2022Article
- Connectedness Is Critical: A Social Network Analysis to Support Emerging Women Leaders in Global Health.Annals of global health · 2022Article
- Social Media as a Tool to Advance Women in Cardiology: Paving the Way for Gender Equality and Diversity.CJC open · 2021Review
- The Pivotal Role of Women in Cardiology Sections in Medical Organizations: From Leadership Training to Personal Enrichment.CJC open · 2021Review
- Reframing the Conversation Around Physician Burnout and Moral Injury: "We're Not Suffering From a Yoga Deficiency".The Permanente journal · 2021Article
- #Cardioonc: Are We Reaching Across the Digital Aisle?JACC. CardioOncology · 2021Article
- #JACCCardioOnc: Evolution of a Dedicated Social Media Strategy forJACC. CardioOncology · 2021Article
- Women in Cardiology Twitter Network: An Analysis of a Global Professional Virtual Community From 2016 to 2019.Journal of the American Heart Association · 2021Article
- Virtual Transformation and the Use of Social Media: Cardiac Electrophysiology Education in the Post-COVID-19 Era.Current treatment options in cardiovascular medicine · 2021Review
- Twitter (X) in Medicine: Friend or Foe to the Field of Interventional Cardiology?Journal of the Society for Cardiovascular Angiography & InterventionsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.