Automated Author ProfilePatel, Mansi
University of Texas at Arlington
Patel, Mansi
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: 7.9 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Thecurrent study examined how racial/ethnic self-identification combines withgender to shape self-reports of everyday discrimination among youth in the U.S.as they transition to adulthood. Data came from seven waves of the Panel Studyof Income Dynamics Transition into Adulthood Supplement (TAS). The sample includedindividuals with two or more observations who identified as White, Black, or Hispanic(n=2,532). Data includes average everyday discrimination scale scores over 9 time periods (i.e., ages 18 to 27) as well as pattern variables for race/ethnicity and sex groups and family SES proxied by highest level of education in household at baseline. Developmental trajectories of everyday discrimination across ages 18to 27 were estimated using multilevel longitudinal models with the SAS ProcMixed procedure.
Authors
- Palmer, Ashley N. ;
- Jung, Euijin ;
- Cobb, Ryon J ;
- Patel, Mansi
Thecurrent study examined how racial/ethnic self-identification combines withgender to shape self-reports of everyday discrimination among youth in the U.S.as they transition to adulthood. Data came from seven waves of the Panel Studyof Income Dynamics Transition into Adulthood Supplement (TAS). The sample includedindividuals with two or more observations who identified as White, Black, or Hispanic(n=2,532). Data includes average everyday discrimination scale scores over 9 time periods (i.e., ages 18 to 27) as well as pattern variables for race/ethnicity and sex groups and family SES proxied by highest level of education in household at baseline. Developmental trajectories of everyday discrimination across ages 18to 27 were estimated using multilevel longitudinal models with the SAS ProcMixed procedure.
Authors
- Palmer, Ashley N. ;
- Jung, Euijin ;
- Cobb, Ryon J ;
- Patel, Mansi
Thecurrent study examined how racial/ethnic self-identification combines withgender to shape self-reports of everyday discrimination among youth in the U.S.as they transition to adulthood. Data came from seven waves of the Panel Studyof Income Dynamics Transition into Adulthood Supplement (TAS). The sample includedindividuals with two or more observations who identified as White, Black, or Hispanic(n=2,532). Data includes average everyday discrimination scale scores over 9 time periods (i.e., ages 18 to 27) as well as pattern variables for race/ethnicity and sex groups and family SES proxied by highest level of education in household at baseline. Developmental trajectories of everyday discrimination across ages 18to 27 were estimated using multilevel longitudinal models with the SAS ProcMixed procedure.
Authors
- Palmer, Ashley N. ;
- Jung, Euijin ;
- Cobb, Ryon J ;
- Patel, Mansi
Thecurrent study examined how racial/ethnic self-identification combines withgender to shape self-reports of everyday discrimination among youth in the U.S.as they transition to adulthood. Data came from seven waves of the Panel Studyof Income Dynamics Transition into Adulthood Supplement (TAS). The sample includedindividuals with two or more observations who identified as White, Black, or Hispanic(n=2,532). Data includes average everyday discrimination scale scores over 9 time periods (i.e., ages 18 to 27) as well as pattern variables for race/ethnicity and sex groups and family SES proxied by highest level of education in household at baseline. Developmental trajectories of everyday discrimination across ages 18to 27 were estimated using multilevel longitudinal models with the SAS ProcMixed procedure.
Authors
- Palmer, Ashley N. ;
- Jung, Euijin ;
- Cobb, Ryon J ;
- Patel, Mansi