Social networks, social media, and social diseases

Name: Social networks, social media, and social diseases
Creator: Enrico, Coiera
Keywords: Internet, 03 medical and health sciences, 0302 clinical medicine, Social Problems, 0202 electrical engineering, electronic engineering, information engineering, Humans, 02 engineering and technology, Delivery of Health Care, Social Media, Social Networking

Enrico, Coiera

Found an issue? Give us feedback

BMJarrow_drop_down

BMJ

Article . 2013 . Peer-reviewed

Data sources: Crossref

BMJ

Article . 2013

Data sources: Europe PubMed Central

https://dx.doi.org/10.1136/bmj...

Article

Data sources: Microsoft Academic Graph

Social networks, social media, and social diseases

descriptionPublicationkeyboard_double_arrow_right Article 22 May 2013 English Publisher:BMJJournal:BMJ, volume 346, pages f3007-f3007 (eissn: 1756-1833,

Copyright policy )

Authors: Enrico, Coiera;

doi: 10.1136/bmj.f3007

pmid: 23697672

Social networks, social media, and social diseases

- Summary
- Subjects
- Metrics

Abstract

Use of social media in healthcare is increasing. Enrico Coiera argues that it has the potential to change not only the way we deliver care but also the way we treat some diseases

Related Organizations

UNSW Sydney
Australia

Keywords

Internet, Social Problems, Humans, Delivery of Health Care, Social Media, Social Networking

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	99
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%