Title |
Social Media and Myeloproliferative Neoplasms (MPN): Analysis of Advanced Metrics From the First Year of a New Twitter Community: #MPNSM
|
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Published in |
Current Hematologic Malignancy Reports, August 2016
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DOI | 10.1007/s11899-016-0341-2 |
Pubmed ID | |
Authors |
Naveen Pemmaraju, Audun Utengen, Vikas Gupta, Jean-Jacques Kiladjian, Ruben Mesa, Michael A. Thompson |
Abstract |
The social media platform Twitter has provided the hematology/oncology community with unprecedented, novel methods of interpersonal communication and increased ability for the dissemination of important updates in a rapidly moving field. The advent, and subsequent success, of disease-specific Twitter communities have further enabled interested healthcare stakeholders to become quickly organized around a unique set of rare medical conditions, such as hematologic malignancies, that, historically, generally lack large amounts of reliable online information. One example is the Twitter community #MPNSM (myeloproliferative neoplasms on social media), which was started approximately one and half years ago and has served as a recognized venue for discussion among many members of the MPN community, including patients, researchers, providers, and advocacy organizations. This article will focus on understanding the impact of the founding of this community via the analysis of advanced Twitter metrics of user experience, from the first year of use for this novel healthcare hashtag. |
Twitter Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 20 | 50% |
Australia | 2 | 5% |
Ecuador | 1 | 3% |
Saudi Arabia | 1 | 3% |
Spain | 1 | 3% |
Turkey | 1 | 3% |
France | 1 | 3% |
Canada | 1 | 3% |
Unknown | 12 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 23 | 57% |
Practitioners (doctors, other healthcare professionals) | 7 | 18% |
Science communicators (journalists, bloggers, editors) | 6 | 15% |
Scientists | 3 | 8% |
Unknown | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 5% |
Colombia | 1 | 3% |
Unknown | 36 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 31% |
Student > Ph. D. Student | 4 | 10% |
Student > Doctoral Student | 3 | 8% |
Researcher | 3 | 8% |
Student > Bachelor | 2 | 5% |
Other | 7 | 18% |
Unknown | 8 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 28% |
Psychology | 4 | 10% |
Computer Science | 3 | 8% |
Engineering | 3 | 8% |
Social Sciences | 3 | 8% |
Other | 6 | 15% |
Unknown | 9 | 23% |