RESUMEN
BACKGROUND: As the use of social media continues to rise, the presence of social media accounts among orthopaedic surgery residency programs can foster connections with other specialties, highlight departmental achievements, and be a resource for applicants to learn more about the program. This study evaluated the current utility and landscape of social media, with an emphasis on the use of Instagram, in orthopaedic surgery residency programs in the United States. METHODS: A cross-sectional study of orthopaedic surgery residency Instagram accounts was performed. The Instagram accounts were evaluated for the number of followers, number of accounts following, and number of posts. Instagram posts were further categorized into academic, departmental, education, and COVID-19-related content. In addition, a search was performed to identify the presence of Twitter and Facebook accounts among orthopaedic surgery residency programs. Bivariate and multivariable logistic regression models were used to analyze the data in this study. RESULTS: Of the 192 orthopaedic surgery residency programs evaluated, 108 programs (56%) had an Instagram account, 65 programs (34%) had a Twitter account, and 58 programs (30%) had a Facebook account. Of the 108 programs with an Instagram account, 92 accounts (85%) were created in 2020. A higher Doximity ranking of a program was positively associated with the presence of an Instagram account (p < 0.001). A significant correlation was found between the number of posts and the Instagram engagement score (p = 0.018). The majority of Instagram posts contained departmental content (54%) followed by social (13%) and COVID-19-related (10%) content. CONCLUSIONS: The presence of orthopaedic surgery residency programs on social media has grown significantly in the year 2020. With the presence of more than 50% of residency programs on Instagram, this can be a useful resource for prospective applicants and other healthcare professionals to gain insight into the activities of orthopaedic surgery residency programs across the United States.
RESUMEN
BACKGROUND: The use of social media assists in the distribution of COVID-19 information to the general public and health professionals. Alternative-level metrics (ie, altmetrics) and PlumX metrics are new bibliometrics that can assess how many times a scientific article has been shared and how much a scientific article has spread within social media platforms. OBJECTIVE: Our objective was to characterize and compare the traditional bibliometrics (ie, citation count and impact factors) and new bibliometrics (ie, Altmetric Attention Score [AAS] and PlumX score) of the top 100 COVID-19 articles with the highest AASs. METHODS: The top 100 articles with highest AASs were identified with Altmetric Explorer in May 2020. The AASs, journal names, and the number of mentions in various social media databases of each article were collected. Citation counts and PlumX Field-Weighted Citation Impact scores were collected from the Scopus database. Additionally, AASs, PlumX scores, and citation counts were log-transformed and adjusted by +1 for linear regression, and Spearman correlation coefficients were used to determine correlations. RESULTS: The median AAS, PlumX score, and citation count were 4922.50, 37.92, and 24.00, respectively. The New England Journal of Medicine published the most articles (18/100, 18%). The highest number of mentions (985,429/1,022,975, 96.3%) were found on Twitter, making it the most frequently used social media platform. A positive correlation was observed between AAS and citation count (r2=0.0973; P=.002), and between PlumX score and citation count (r2=0.8911; P<.001). CONCLUSIONS: Our study demonstrated that citation count weakly correlated with AASs and strongly correlated with PlumX scores, with regard to COVID-19 articles at this point in time. Altmetric and PlumX metrics should be used to complement traditional citation counts when assessing the dissemination and impact of a COVID-19 article.