| Title |
Cumulative Risk and Impact Modeling on Environmental Chemical and Social Stressors
|
|---|---|
| Published in |
Current Environmental Health Reports, February 2018
|
| DOI | 10.1007/s40572-018-0180-5 |
| Pubmed ID | |
| Authors |
Hongtai Huang, Aolin Wang, Rachel Morello-Frosch, Juleen Lam, Marina Sirota, Amy Padula, Tracey J. Woodruff |
| Abstract |
The goal of this review is to identify cumulative modeling methods used to evaluate combined effects of exposures to environmental chemicals and social stressors. The specific review question is: What are the existing quantitative methods used to examine the cumulative impacts of exposures to environmental chemical and social stressors on health? There has been an increase in literature that evaluates combined effects of exposures to environmental chemicals and social stressors on health using regression models; very few studies applied other data mining and machine learning techniques to this problem. The majority of studies we identified used regression models to evaluate combined effects of multiple environmental and social stressors. With proper study design and appropriate modeling assumptions, additional data mining methods may be useful to examine combined effects of environmental and social stressors. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 14% |
| Researcher | 9 | 14% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 32 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 9 | 14% |
| Medicine and Dentistry | 4 | 6% |
| Psychology | 4 | 6% |
| Computer Science | 3 | 5% |
| Engineering | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 34 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2018.
All research outputs
#17,930,799
of 23,025,074 outputs
Outputs from Current Environmental Health Reports
#287
of 324 outputs
Outputs of similar age
#314,628
of 446,086 outputs
Outputs of similar age from Current Environmental Health Reports
#16
of 19 outputs
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