Automated Author ProfileSpeck, Patricia M.
University of Alabama in Birmingham
Speck, Patricia M.
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: 2.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Introduction and Background. Minorities are less likely to reportrapes. The Post Coital DNA Recovery (PCDR) study (2009-14) subjects were white(93%) where expanded collection times were not generalizable to minoritypopulations. Evidence reports health and medical differences between racesnecessitating duplication of previous research in minority populations.Aims.(1) What is the time period in which it ispossible to collect post-coital DNA in minority women using Y-STR laboratorymethods? and (2) when compared to the former study sample of minority andnon-minority, what are the physiological conditions, factors, or activities inminority couples that influence post-coital DNA recovery?Design. The design includes mixed methods duplicationperfected in the first study, embracing descriptive and inferential techniques.Qualitative research used semi-structured interviews. Aim 1 analysis used PCDR-Mdata only. Aim 2 combined data from both PCDR and PCDR-M studies. Combined, DNArecovery, a binary outcome accounting for repeated methods in populationregression analysis, used Generalized Estimating Equation (GEE) methods.Fidelity.The strict criteria for adherence included considerable outreach andsupport of study personnel. PCDR and PCDR-M data combined and compared the twosamples, which had specific homogeneity, including same inclusion andelimination criteria in both studies; fidelity to the validated protocol;laboratory method and interpretation for inclusion; duplicate statisticalanalysis; and interpretation of data. Any variation in key variables metelimination criteria.Assumptions and Limitations. Assumptions included (1) motivation is altruistic; (2)motivation is incentives and coercion for some; (3) negotiating coitus isdifficult and stressful; and (4) similar fidelity and dropout rates. Thelimitations included (1) a lack of representation for the diverse experiencesof rape victims; (2) sample size; (3) self-selection bias; (4) protocol adherence;and (4) advances in laboratory science and DNA kits.Demographics. Demographic variables included gender, race, and age. Major categories in the dataset included participants' reproductive history, data on female participants' reproductive organs, and childhood abuse.
Authors
- Speck, Patricia M.
Introduction and Background. Minorities are less likely to reportrapes. The Post Coital DNA Recovery (PCDR) study (2009-14) subjects were white(93%) where expanded collection times were not generalizable to minoritypopulations. Evidence reports health and medical differences between racesnecessitating duplication of previous research in minority populations.Aims.(1) What is the time period in which it ispossible to collect post-coital DNA in minority women using Y-STR laboratorymethods? and (2) when compared to the former study sample of minority andnon-minority, what are the physiological conditions, factors, or activities inminority couples that influence post-coital DNA recovery?Design. The design includes mixed methods duplicationperfected in the first study, embracing descriptive and inferential techniques.Qualitative research used semi-structured interviews. Aim 1 analysis used PCDR-Mdata only. Aim 2 combined data from both PCDR and PCDR-M studies. Combined, DNArecovery, a binary outcome accounting for repeated methods in populationregression analysis, used Generalized Estimating Equation (GEE) methods.Fidelity.The strict criteria for adherence included considerable outreach andsupport of study personnel. PCDR and PCDR-M data combined and compared the twosamples, which had specific homogeneity, including same inclusion andelimination criteria in both studies; fidelity to the validated protocol;laboratory method and interpretation for inclusion; duplicate statisticalanalysis; and interpretation of data. Any variation in key variables metelimination criteria.Assumptions and Limitations. Assumptions included (1) motivation is altruistic; (2)motivation is incentives and coercion for some; (3) negotiating coitus isdifficult and stressful; and (4) similar fidelity and dropout rates. Thelimitations included (1) a lack of representation for the diverse experiencesof rape victims; (2) sample size; (3) self-selection bias; (4) protocol adherence;and (4) advances in laboratory science and DNA kits.Demographics. Demographic variables included gender, race, and age. Major categories in the dataset included participants' reproductive history, data on female participants' reproductive organs, and childhood abuse.
Authors
- Speck, Patricia M.