Automated Author Profile
Engelmann, Juliane
Freie Universität Berlin

Current S-Index

1.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.1

Average Dataset Index per dataset

Total Datasets

Total datasets for this author

Average FAIR Score

21.5%

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: 1.5 (sum of 12 datasets Dataset Index scores)

More information here.

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Replication Data for: Regolith mixing by impacts: Lateral diffusion of basin melt.

• Cumulative impact gardening on presence of melt laterally and with depth is modeled by means of a Monte Carlo approach. • The quantitative abundance of the melt from three mid- to late-forming basin is estimated. • Burying and transportation play more important roles than re-melting process in melt diffusion. • The simulated abundance of basin melt is consistent with the radiometric ages from Apollo and Luna highland samples.

Authors

Lui, Tiantian ;
Michael, Greg ;
Engelmann, Juliane ;
Wünnemann, Kai ;
Oberst, Jürgen

0 Citations0 Mentions88% FAIR0.5 Dataset Index

10.35003/se84pg2021