Automated Author ProfileLee, Tien Ming
Columbia University
Lee, Tien Ming
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: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Competition theory predicts that communities at small spatial scales should consist of species more dissimilar than expected by chance. We find a strikingly different pattern in a multi-continent dataset (55 presence-absence matrices from 24 locations) on the composition of mixed-species bird flocks, important subunits of local bird communities the world over. Using null models and randomization tests followed by meta-analysis, we find the association strength of species in flocks to be strongly related to similarity in body size and foraging behavior, and higher for congeneric compared with non-congeneric species pairs. Given the small spatial scale of our individual analyses, differences in habitat preferences of species are unlikely to have caused these association patterns; therefore, the patterns are most likely the outcome of species interactions. Extending group-living and social information use theory to a heterospecific context, we discuss potential behavioral mechanisms leading to positive interactions among similar species in flocks as well as ways in which competition costs are reduced. Our findings highlight the need to consider positive interactions along with competition when seeking to explain community assembly.
Authors
- Sridhar, Hari ;
- Srinivasan, Umesh ;
- Askins, Robert A. ;
- Delgadillo, Julio Cesar Canales ;
- Chen, Chao-Chieh ;
- Ewert, David N. ;
- Gale, George A. ;
- Goodale, Eben ;
- Gram, Wendy K. ;
- Hart, Patrick J. ;
- Hobson, Keith A. ;
- Hutto, Richard L. ;
- Kotagama, Sarath W. ;
- Knowlton, Jessie L. ;
- Lee, Tien Ming ;
- Munn, Charles A. ;
- Nimnuan, Somchai ;
- Nizam, B. Z. ;
- Péron, Guillaume ;
- Robin, V. V. ;
- Rodewald, Amanda D. ;
- Rodewald, Paul G. ;
- Thomson, Robert L. ;
- Trivedi, Pranav ;
- Wilgenburg, Steven L. Van ;
- Shanker, Kartik