Background: Social media is a powerful tool that has empowered plastic surgeons to easily collaborate with one another and rapidly publicize research progression. The present study investigates the relationship between academic productivity and social media presence among both integrated and independent plastic surgery programs and their faculty.
Methods: Plastic surgery programs on the American Council of Academic Plastic Surgeons website were included. Faculty were identified via review of each program's website. Following metrics of academic productivity were collected for each faculty member: h-index, i10-index, number of publications, and number of citations. Online review was then conducted to identify faculty and program Instagram and Twitter accounts, and the number of associated followers and posts.
Results: Integrated plastic surgery programs were more likely to have an Instagram account (p < 0.001), have higher average faculty h-index (p = 0.027), i10-index (p = 0.027), and number of publications (p = 0.042). A number of Instagram followers were significantly associated with average faculty h-index (p < 0.001), i10-index (p < 0.001), and number of publications (p < 0.001). The number of posts on a program's Instagram significantly predicted average faculty h-index (p < 0.001), i10-index (p < 0.001), and number of publications (p < 0.001). Twitter followers were significantly associated with average faculty h-index (p = 0.0397), i10-index (p = 0.0432), and number of citations (p = 0.00737).
Conclusions: The present study reveals a correlation between metrics of social media popularity and academic productivity of plastic surgeons. We propose that Instagram and Twitter are effective tools with which plastic surgeons may not only publicize their clinical practice, but also rapidly disseminate important innovations among the medical community. Integrated plastic surgery programs and their faculty have significantly higher utilization of social media platforms. The number of followers and posts on a program's Instagram have a significantly positive correlation with average faculty's academic productivity. Social media platforms may empower academic plastic surgeons to disseminate their innovations on a larger scale.
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http://dx.doi.org/10.1007/s00266-023-03605-7 | DOI Listing |
BMC Health Serv Res
January 2025
Cambridge Centre for Neuropsychiatric Research, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Background: Poor care experiences are reported for premenstrual disorders, which may result in negative outcomes such as distress, reduced healthcare engagement, and delays to diagnosis. This research aimed to explore healthcare experiences for premenstrual symptoms in the United Kingdom and identify areas for potential improvements based on participant responses.
Method: An online survey was delivered, with participants recruited via social media.
BMC Public Health
January 2025
National Institute for Health Research (NIHR) School for Public Health Research (SPHR), Newcastle, UK.
Background: In England, 23% of children aged 11 start their teenage years living with obesity. An adolescent living with obesity is five times more likely to live with obesity in adult life. There is limited research and policy incorporating adolescents' views on how they experience the commercial determinants of dietary behaviour and obesity, which misses an opportunity to improve services and policies that aim to influence the prevalence of childhood obesity.
View Article and Find Full Text PDFSupport Care Cancer
January 2025
Centre for Epidemiology and Biostatistics, University of Melbourne, Parkville, VIC, Australia.
Background/aims: Social connectedness is increasingly recognised as influencing health outcomes in cancer caregivers; however, there is little understanding of factors which foster feelings of social connectedness among caregivers when providing care. We sought to examine from the caregivers' perspective, factors which contribute to perceived social connection when providing care to someone with cancer.
Methods: Semi-structured interviews were conducted with 20 caregivers of people with cancer.
Sci Rep
January 2025
EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, 11586, Riyadh, Saudi Arabia.
During the Covid-19 pandemic, the widespread use of social media platforms has facilitated the dissemination of information, fake news, and propaganda, serving as a vital source of self-reported symptoms related to Covid-19. Existing graph-based models, such as Graph Neural Networks (GNNs), have achieved notable success in Natural Language Processing (NLP). However, utilizing GNN-based models for propaganda detection remains challenging because of the challenges related to mining distinct word interactions and storing nonconsecutive and broad contextual data.
View Article and Find Full Text PDFSci Rep
January 2025
Center for Health Technology and Services Research (CINTESIS@RISE), School of Health Sciences, University of Aveiro, Aveiro, Portugal.
This study describes the process of designing and developing the user interface of a digital solution aiming to promote physical and cognitive training (DanceMove) and testing for its usability by community-dwelling older adults. This study is subdivided into four phases: (i) concept and ideation, (ii) design and development of the prototype, (iii) testing of the functional mock-ups, and (iv) testing of the prototype in the laboratory and in the real context of use. Through the different phases of the study technological and healthcare professionals and users were involved.
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