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Table 1 Document characteristics

From: Utility of social media and crowd-intelligence data for pharmacovigilance: a scoping review

Document characteristics (n = 70) Count (%)
Year of dissemination 2001–2004 1 (1.4%)
2005–2008 1 (1.4%)
2009–2012 13 (18.6%)
2013–2016 55 (78.6%)
Document type Blog 1 (1.4%)
Dissertation 1 (1.4%)
Book section 2 (2.9%)
Report 3 (4.3%)
Conference paper/poster 23 (32.9%)
Journal article 40 (57.1%)
Geographic region of publication Asia 2 (2.9%)
Australia & New Zealand 5 (7.1%)
Europe 12 (17.1%)
North America 51 (72.9%)
Funding type Non-sponsored 4 (5.7%)
Industry and public-sponsored 5 (7.1%)
Industry-sponsored 7 (10.0%)
Not reported 26 (37.1%)
Public-sponsored 28 (40.0%)
Types of social media listening systems studied for drug safety surveillance Used an available automatic information extraction system (fully developed and available for use) 8 (11.4%)
Used a manual approach for information extraction 16 (22.9%)
Used an experimental automatic information extraction system (at the development stage) 46 (65.7%)