Automated Author ProfileStraub, John E.
Boston University
Straub, John E.
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: 5.3 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The trajectory files (in dcd format) generated for the Abeta40 and Abeta42 monomer sequences using the SOP-IDP model. The data accompanies the publication "Differences in the free energies between the excited states of Abeta40 and Abeta42 monomers encode their aggregation propensities" (doi: https://doi.org/10.1101/2020.02.09.940676) by Debayan Chakraborty, John E. Straub and D. Thirumalai.
Authors
- Chakraborty, Debayan ;
- Straub, John E. ;
- Thirumalai, D.
The trajectory files (in dcd format) generated for the Abeta40 and Abeta42 monomer sequences using the SOP-IDP model. The data accompanies the publication "Differences in the free energies between the excited states of Abeta40 and Abeta42 monomers encode their aggregation propensities" (doi: https://doi.org/10.1101/2020.02.09.940676) by Debayan Chakraborty, John E. Straub and D. Thirumalai. The scripts for hierarchical clustering, and analysis of ensemble-averaged properties, described in the manuscript are also available.
Authors
- Chakraborty, Debayan ;
- Straub, John E. ;
- Thirumalai, D.
The trajectory files (in dcd format) generated for the Abeta40 and Abeta42 monomer sequences using the SOP-IDP model. The data accompanies the publication "Differences in the free energies between the excited states of Abeta40 and Abeta42 monomers encode their aggregation propensities" (doi: https://doi.org/10.1101/2020.02.09.940676) by Debayan Chakraborty, John E. Straub and D. Thirumalai. The scripts for hierarchical clustering, and analysis of ensemble-averaged properties, described in the manuscript are also available.
Authors
- Chakraborty, Debayan ;
- Straub, John E. ;
- Thirumalai, D.