Automated Author ProfileWiese, Igor S.
Wiese, Igor S.
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: 3.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This codebook classifies excerpts from interviews conducted with voluntary participants for the article "Investigating the potential of using Worked Examples to help resolve issues in a GitHub project". This document presents the qualitative analysis of the interview transcripts and is structured as follows: Benefits or Challenges of Using Worked Examples: A set of codes that characterize cases where Worked Examples either helped or hindered users in developing solutions for a GitHub issue. Code: Codes extracted from the transcripts. Description: A description of the situation in which a code can be associated with an excerpt. Quotes/Examples: Examples of excerpts from interview transcripts that fit a given code.
Authors
- Souza Rocha, João Vitor ;
- Wiese, Igor S. ;
- Polato, Ivanilton ;
- Graciotto Silva, Marco Aurélio ;
- Ré, Reginaldo ;
- Steinmacher, Igor ;
- T. Nakamura, Walter
This codebook classifies excerpts from interviews conducted with voluntary participants for the article "Investigating the potential of using Worked Examples to help resolve issues in a GitHub project". This document presents the qualitative analysis of the interview transcripts and is structured as follows: Benefits or Challenges of Using Worked Examples: A set of codes that characterize cases where Worked Examples either helped or hindered users in developing solutions for a GitHub issue. Code: Codes extracted from the transcripts. Description: A description of the situation in which a code can be associated with an excerpt. Quotes/Examples: Examples of excerpts from interview transcripts that fit a given code.
Authors
- Souza Rocha, João Vitor ;
- Wiese, Igor S. ;
- Polato, Ivanilton ;
- Graciotto Silva, Marco Aurélio ;
- Ré, Reginaldo ;
- Steinmacher, Igor ;
- T. Nakamura, Walter