Automated Author Profile
Motta, Matthew
University of Minnesota - Twin Cities

Current S-Index

0.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

Total datasets for this author

Average FAIR Score

15.4%

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: 0.8 (sum of 2 datasets Dataset Index scores)

More information here.

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Replication Data for: The Politically Polarizing Implications of the March for Science (Version: 1.0)

Replication data for a working paper, presently under peer review.

Authors

Motta, Matthew

0 Citations0 Mentions15% FAIR0.4 Dataset Index

10.7910/dvn/bbem3f2017

Replication Data for: "What do Interviewer Intelligence Ratings Actually Measure?" (Version: 1.0)

This file contains the syntax, data, and instructions necessary to replicate "What do Interviewer Intelligence Ratings Actually Measure?"- The .pdf is a "readme" containing instructions- The .dta file is publicly available data from the American National Election Study (2012 Time Series)- The first .do file (Replication File 1.do) prepares the data- The second .do file (Replication File 2.do) analyzes the data and produces all figures/tables in the main and supplemental text