Automated Author ProfileScheepers, Christoph
Scheepers, Christoph
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: 7.4 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data and Analysis Scripts for "Hierarchical structure priming from mathematics to two- and three-site relative clause attachment" (C. Scheepers, A. Galkina, Y. Shtyrov, and A. Myachykov, 2019) Data for Experiment 1 are in "2site_E1.csv" and the corresponding R script is "lmescript_E1.R" Data for Experiment 2 are in "3site_E2.csv" and the corresponding R script is "lmescript_E2.R" Organisation of data files: column 1: participant_ID column 2: participant gender column 3: presentation list (Latin square) column 4: item-ID column 5: numerical prime-condition code column 6: prime type (string) column 7: numerical target response code column 8-9 (Exp 1) respectively 8-10 (Exp 2): N1/N2/N3 target attachment (yes = 1 / no = 0) final column: error in prime or controversial target response (yes = 1 / no = 0)
Authors
- Scheepers, Christoph
Data and Analysis Scripts for "Hierarchical structure priming from mathematics to two- and three-site relative clause attachment" (C. Scheepers, A. Galkina, Y. Shtyrov, and A. Myachykov, 2019) Data for Experiment 1 are in "2site_E1.csv" and the corresponding R script is "lmescript_E1.R" Data for Experiment 2 are in "3site_E2.csv" and the corresponding R script is "lmescript_E2.R" Organisation of data files: column 1: participant_ID column 2: participant gender column 3: presentation list (Latin square) column 4: item-ID column 5: numerical prime-condition code column 6: prime type (string) column 7: numerical target response code column 8-9 (Exp 1) respectively 8-10 (Exp 2): N1/N2/N3 target attachment (yes = 1 / no = 0) final column: error in prime or controversial target response (yes = 1 / no = 0)
Authors
- Scheepers, Christoph
Data and Analysis Scripts for "Hierarchical structure priming from mathematics to two- and three-site relative clause attachment" (C. Scheepers, A. Galkina, Y. Shtyrov, and A. Myachykov, 2019) Data for Experiment 1 are in "2site_E1.csv" and the corresponding R script is "lmescript_E1.R" Data for Experiment 2 are in "3site_E2.csv" and the corresponding R script is "lmescript_E2.R" Organisation of data files: column 1: participant_ID column 2: participant gender column 3: presentation list (Latin square) column 4: item-ID column 5: numerical prime-condition code column 6: prime type (string) column 7: numerical target response code column 8-9 (Exp 1) respectively 8-10 (Exp 2): N1/N2/N3 target attachment (yes = 1 / no = 0) final column: error in prime or controversial target response (yes = 1 / no = 0)
Authors
- Scheepers, Christoph
Data and Analysis Scripts for "Hierarchical structure priming from mathematics to two- and three-site relative clause attachment" (C. Scheepers, A. Galkina, Y. Shtyrov, and A. Myachykov, 2019) Data for Experiment 1 are in "2site_E1.csv" and the corresponding R script is "lmescript_E1.R" Data for Experiment 2 are in "3site_E2.csv" and the corresponding R script is "lmescript_E2.R" Organisation of data files: column 1: participant_ID column 2: participant gender column 3: presentation list (Latin square) column 4: item-ID column 5: numerical prime-condition code column 6: prime type (string) column 7: numerical target response code column 8-9 (Exp 1) respectively 8-10 (Exp 2): N1/N2/N3 target attachment (yes = 1 / no = 0) final column: error in prime or controversial target response (yes = 1 / no = 0)
Authors
- Scheepers, Christoph
This is a dataset set of 24 participants which is described in a paper: Motor (but not auditory) attention affects syntactic choice by Pokhoday et al.
Authors
- Pokhoday, Mikhail ;
- Myachykov, Andriy ;
- Shtyrov, Yury ;
- Scheepers, Christoph
This is a dataset set of 24 participants which is described in a paper: Motor (but not auditory) attention affects syntactic choice by Pokhoday et al.
Authors
- Pokhoday, Mikhail ;
- Myachykov, Andriy ;
- Shtyrov, Yury ;
- Scheepers, Christoph