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%) | |