Automated Author ProfileLi, Bing
Li, Bing
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: 1.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Cardiovascular diseases (CVD) are a leading global health concern. Comprehensive data on CVD and key biomarkers play a pivotal role in deciphering individual symptomatology. These biomarkers encompass a range of physiological indicators, such as cholesterol levels, blood pressure, and inflammatory markers like C-reactive protein. The dataset, meticulously compiled from diverse sources and clinical studies, serves as a rich repository of information on cardiovascular diseases and associated biomarkers, offering researchers and healthcare practitioners a valuable resource to delve deeper into the complexities of CVD and refine diagnostic and therapeutic approaches. Understanding the data patterns and variations aids in early detection, risk assessment, and personalized treatment strategies for CVD. Additionally, genetic markers and advanced diagnostic imaging contribute to a holistic understanding of CVD risk factors. This data-driven approach empowers healthcare professionals to tailor interventions, promoting timely prevention and management of cardiovascular diseases, ultimately enhancing patient outcomes and quality of life.
Authors
- Li, Bing ;
- Zhang, Yaoting ;
- Zheng, Yang ;
- Cai, He
Whole rock geochemistry from the northern Tibetan Plateau, eastern Qilian Shan and Longshoushan. Samples range in age from Paleozoic to Proterozoic. Granitoid and volcanic rock samples were analyzed for major and trace elements at the Chinese Academy of Geologic Sciences in Beijing, China. Major elements were analyzed using an X-ray fluorescence spectrometer. Trace elements were measured on an inductively coupled plasma-mass spectrometry (ICP-MS).
Authors
- Wu, Chen ;
- Zuza, Andrew ;
- Yin, An ;
- Chen, Xuanhua ;
- Haproff, Peter ;
- Li, Jie ;
- Li, Bing ;
- Ding, Lin