Automated Author ProfileMosleh-Shirazi, Abnoos
University College Cork
Mosleh-Shirazi, Abnoos
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.0 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
OBJECTIVE: To assess if different forms of regulation lead to differences in the quality of journal advertisements. DESIGN: Cross-sectional study. PARTICIPANTS: Thirty advertisements from family practice journals published from 2013-2015 were extracted for three countries with distinct regulatory pharmaceutical promotion systems: Australia, Canada, and the United States (US). PRIMARY AND SECONDARY OUTCOME MEASURES: Advertisements under each regulatory system were compared concerning three domains: information included in the advertisement, references to scientific evidence, and pictorial appeals and portrayals. An overall ranking for advertisement quality among countries was determined using the first two domains as the information assessed has been associated with more appropriate prescribing. RESULTS: Advertisements varied significantly for number of claims with quantitative benefit (Australia: 0.0 (0.0-3.0); Canada: 0.0 (0.0-5.0); US: 1.0 (0.0-6.0); p=0.01); statistical method used in reporting benefit (RRR, ARR, and NNT) (Australia: 6.7%, n=2; Canada: 10.0%, n=3; US: 36.6%, n=11; p=0.02); mention of adverse effects, warnings, or contraindications (Australia: 13.3%, n=4; Canada: 23.3%, n=7; US: 53.3%, n=16; p=0.002); equal prominence between safety and benefit information (Australia: 25.0%, n=1; Canada: 28.6%, n=2; US: 75.0%, n=12; p=0.04); and methodologic quality of references score (Australia: 0.4150 (0.25-0.70); Canada: 0.25 (0.00-0.63); US: 0.25 (0.00-0.75); p<0.001). The US ranked first, Canada second, and Australia third for overall quality of journal advertisements. Significant differences for humor appeals (Australia: 3.3%, n=1; Canada: 13.3%, n=4; US: 26.7%, n=8; p=0.04), positive emotional appeals (Australia: 26.7%, n=8; Canada: 60.0%, n=18; US: 50.0%, n=15; p=0.03), social approval portrayals (Australia: 0.0%, n=0; Canada: 0.0%, n=0; US: 10.0%, n=3; p=0.04), and lifestyle or work portrayals (Australia: 43.3%, n=13; Canada: 50.0%, n=15; US: 76.7%, n=23; p=0.02) were found among countries. CONCLUSIONS: Different regulatory systems influence journal advertisement quality concerning all measured domains. However, differences may also be attributed to other regulatory, legal, cultural, or health system factors unique to each country.
Authors
- Diep, Dion ;
- Mosleh-Shirazi, Abnoos ;
- Lexchin, Joel