Automated Author ProfileIp, Edward
Ip, Edward
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Aim: We assessed self-reported efficacy in cardiovascular prevention practice among internal medicine, family medicine, endocrinology and cardiology clinicians. Patients & methods: We emailed a 21-item questionnaire to 956 physicians, nurse practitioners, physician assistants and pharmacists. Results: 264 clinicians responded (median age: 39 years, 55% women, 47.9% specialists). Most expressed high self-efficacy in lifestyle counselling, prescribing statins, metformin, and aspirin in primary prevention, but low self-efficacy in managing specialized conditions like elevated lipoprotein(a). Compared with specialists, PCPs expressed lower self-efficacy in managing advanced lipid disorders and higher self-efficacy in prescribing sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists. Conclusion: Self-efficacy in cardiovascular prevention varied across specialties. Future research should explore relevant provider, clinic and system level factors to optimize cardiovascular prevention.
Authors
- Caldarera, Trevor ;
- Ponir, Cynthia ;
- Seals, Austin ;
- Penmetsa, Megha ;
- Ip, Edward ;
- A German, Charles ;
- S Virani, Salim ;
- Saha, Animita ;
- B Bosworth, Hayden ;
- B Moore, Justin ;
- D Shapiro, Michael ;
- Pokharel, Yashashwi
Aim: We assessed self-reported efficacy in cardiovascular prevention practice among internal medicine, family medicine, endocrinology and cardiology clinicians. Patients & methods: We emailed a 21-item questionnaire to 956 physicians, nurse practitioners, physician assistants and pharmacists. Results: 264 clinicians responded (median age: 39 years, 55% women, 47.9% specialists). Most expressed high self-efficacy in lifestyle counselling, prescribing statins, metformin, and aspirin in primary prevention, but low self-efficacy in managing specialized conditions like elevated lipoprotein(a). Compared with specialists, PCPs expressed lower self-efficacy in managing advanced lipid disorders and higher self-efficacy in prescribing sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists. Conclusion: Self-efficacy in cardiovascular prevention varied across specialties. Future research should explore relevant provider, clinic and system level factors to optimize cardiovascular prevention.
Authors
- Caldarera, Trevor ;
- Ponir, Cynthia ;
- Seals, Austin ;
- Penmetsa, Megha ;
- Ip, Edward ;
- A German, Charles ;
- S Virani, Salim ;
- Saha, Animita ;
- B Bosworth, Hayden ;
- B Moore, Justin ;
- D Shapiro, Michael ;
- Pokharel, Yashashwi