Social Media and Myeloproliferative Neoplasms (MPN)—Focus on Twitter and the Development of a Disease-specific Community: #MPNSM

A healthcare social media research article published in Current Hematologic Malignancy Reports, September 27, 2015

Title
Social Media and Myeloproliferative Neoplasms (MPN)—Focus on Twitter and the Development of a Disease-specific Community: #MPNSM
Authors (alpha)
Michael A. Thompson, Naveen Pemmaraju, Ruben Mesa, Vikas Gupta
Published
September 27, 2015
Journal
Current Hematologic Malignancy Reports
Impact Factor
2.2
DOI
10.1007/s11899-015-0287-9
Pubmed
26411990
Altmetric
A healthcare social media research article published in Current Hematologic Malignancy Reports, September 27, 2015

Abstract

The advent of social media has led to the ability for individuals all over the world to communicate with each other, in real time, about mutual topics of interest in an unprecedented manner. Recently, the use of social media has increased among people interested in healthcare and medical research, particularly in the field of hematology and oncology, a field which frequently experiences rapid shifts of information and novel, practice-changing discoveries. Among the many social media platforms available to cancer patients and providers, one platform in particular, Twitter, has become the focus for the creation of disease-specific communities, especially for those interested in, affected by, or those who perform research in the fields of rare cancers, which historically have had a dearth of reliable information available. This article will focus on the initiation and progress of one such Twitter hematology/oncology community, #mpnsm, which was originally created for the purpose of serving as a venue for improving the interaction among patients, providers, researchers, and organizations with interest in the myeloproliferative neoplasms (MPNs) and to further the availability of reliable up-to-date analysis; relevant expert commentary; and readily usable information for patients, providers, and other groups interested in this field.


Symplur Signals for Academic Research

Symplur Signals provides researchers with a simple research interface, rich datasets, powerful filtering, and algorithms with natural language processing capabilities optimized for our context of healthcare. Get access to up to 7 years of history from this trusted academic research platform.

Subscribe Now

Healthcare Social Media Research

See the full list of healthcare social media research articles with data from or reference to Symplur.
#hcsmR is a collaboration between Stanford Medicine X and Symplur.


Altmetric

The Altmetric Attention Score is based on the attention a research article gets on the internet. Each coloured thread in the circle represents a different type of online attention and the number in the centre is the Altmetric Attention Score. The score is calculated based on two main sources of online attention: social media and mainstream news media.