Social media analytics.
Journal
Surgery
ISSN: 1532-7361
Titre abrégé: Surgery
Pays: United States
ID NLM: 0417347
Informations de publication
Date de publication:
09 2023
09 2023
Historique:
received:
31
03
2023
accepted:
24
05
2023
medline:
8
8
2023
pubmed:
1
7
2023
entrez:
30
6
2023
Statut:
ppublish
Résumé
Social media has become increasingly relevant for surgeons, trainees, surgical journals, and professional organizations. This article explores the importance of advanced social media analytics, including social media metrics, social graph metrics, and altmetrics, in enhancing information exchange and promoting content in digital surgical communities. Different social media platforms give users access to free analytics, such as Twitter Analytics, Facebook Page Insights, Instagram Insights, LinkedIn Analytics, and YouTube Analytics, and various commercial applications offer advanced metrics and data visualization. Social graph metrics provide insights into a social surgical network's structure and dynamics, helping identify key influencers, communities, trends, or behavior patterns within the network. Altmetrics allow alternative ways to measure the social impact of research beyond traditional citations, including mentions, downloads, and shares on social media platforms. However, ethical issues related to privacy, accuracy, transparency, accountability, and impact on patient care must be considered when using social media analytics.
Identifiants
pubmed: 37391326
pii: S0039-6060(23)00334-3
doi: 10.1016/j.surg.2023.05.039
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
735-740Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.