Automated Author ProfilePilcher, Lynne
University of Pretoria
Pilcher, Lynne
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: 1.3 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Students reasons for use of or not use of learning strategies in Chemistry during COVID. Students who responded to learning strategies within a particular subscale such as "peer learning", "help seeking" or "task strategies" with all negative or all positive responses were emailed to why they did not use the associated learning strategies or why they fully endorsed all the learning strategies in the set. This document contains all the anonymized emailed responses. First-year Chemistry students were surveyed on their use of self-regulated learning strategies during the Covid-19 pandemic. The survey data were collected via the Learning Management System. Students responded to items such as "I make simple charts, diagrams, or tables to help me organise course material" using a Likert scale ranging from "not at all true of me" to "very true of me". These data were combined with demographic data such as home language, gender and academic history. Thus, each line in the spreadsheet corresponds to a first-year chemistry student with their demographic details and their response to each item in the survey.
Authors
- Pilcher, Lynne ;
- Rakhunwana, Langanani ;
- Kritzinger, Angelique
Students reasons for use of or not use of learning strategies in Chemistry during COVID. Students who responded to learning strategies within a particular subscale such as "peer learning", "help seeking" or "task strategies" with all negative or all positive responses were emailed to why they did not use the associated learning strategies or why they fully endorsed all the learning strategies in the set. This document contains all the anonymized emailed responses. First-year Chemistry students were surveyed on their use of self-regulated learning strategies during the Covid-19 pandemic. The survey data were collected via the Learning Management System. Students responded to items such as "I make simple charts, diagrams, or tables to help me organise course material" using a Likert scale ranging from "not at all true of me" to "very true of me". These data were combined with demographic data such as home language, gender and academic history. Thus, each line in the spreadsheet corresponds to a first-year chemistry student with their demographic details and their response to each item in the survey.
Authors
- Pilcher, Lynne ;
- Rakhunwana, Langanani ;
- Kritzinger, Angelique
The log and wave function files for the theoretical study of sodium and potassium metal ion coordination to the adeninate anion at DFT and CCSD level of theory; the log files of the DFT study of sodium and potassium complexed adeninate complexes with four explicit DMSO solvent molecules; and the log files for the reagents, transition states and products for the reaction path modelling of the SN2 reaction between the adeninate or sodium-complexed adeninate with benzyl chloride. The log files are opened using Gaussian software and the wave function files (wfx) are processed using AIMAll software (Version 19.10.12)
Authors
- Buyens, Dominique ;
- Pilcher, Lynne ;
- Cukrowski, Ignacy ;
- Roduner, Emil
The log and wave function files for the theoretical study of sodium and potassium metal ion coordination to the adeninate anion at DFT and CCSD level of theory; the log files of the DFT study of sodium and potassium complexed adeninate complexes with four explicit DMSO solvent molecules; and the log files for the reagents, transition states and products for the reaction path modelling of the SN2 reaction between the adeninate or sodium-complexed adeninate with benzyl chloride. The log files are opened using Gaussian software and the wave function files (wfx) are processed using AIMAll software (Version 19.10.12)
Authors
- Buyens, Dominique ;
- Pilcher, Lynne ;
- Cukrowski, Ignacy ;
- Roduner, Emil