ArticleEnvironmental health perspectives2016
Computational Exposure Science: An Emerging Discipline to Support 21st-Century Risk Assessment.
Article in Environmental health perspectives, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 88 citations in OpenAlex.
- Review of human health exposure assessment frameworks in the United States and development of a unified framework for exposure assessment practitioners.Frontiers in public health · 2026Review
- Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency.Environment international · 2023Review
- AirPen: A Wearable Monitor for Characterizing Exposures to Particulate Matter and Volatile Organic Compounds.Environmental science & technology · 2023Article
- A Data-Driven Approach to Estimating Occupational Inhalation Exposure Using Workplace Compliance Data.Environmental science & technology · 2023Article
- Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment.Journal of exposure science & environmental epidemiology · 2022Review
- Exposure Prioritization (Toxics · 2022Article
- A modular mechanistic framework for estimating exposure to SVOCs: Next steps for modeling emission and partitioning of plasticizers and PFAS.Journal of exposure science & environmental epidemiology · 2022Review
- Filling in the Blanks: A New Tool to Predict Chemical Pathways from Production to Exposure.Environmental health perspectives · 2022Article
- Quo vadis blood protein adductomics?Archives of toxicology · 2022Review
- Article
- Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language.International journal of environmental research and public health · 2021Article
- Evolving Science and Practice of Risk Assessment.Risk analysis : an official publication of the Society for Risk Analysis · 2021Article
- Community Approaches for Integrating Environmental Exposures into Human Models of Disease.Environmental health perspectives · 2020Article
- Exposure Science in the 21st Century: Advancing the Science and Technology of Environmental Sensors through Cooperation and Collaboration across U.S. Federal Agencies.Chemosensors (Basel, Switzerland) · 2020Article
- Enhancing life cycle chemical exposure assessment through ontology modeling.The Science of the total environment · 2020Article
- Assessing Human Exposure to Chemicals in Materials, Products and Articles: The International Risk Management Landscape for Phthalates.Environmental science & technology · 2019Article
- New Approach Methodologies for Exposure Science.Current opinion in toxicology · 2019Article
- Integrating exposure to chemicals in building materials during use stage.The international journal of life cycle assessment · 2019Article
- The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency.Toxicological sciences : an official journal of the Society of Toxicology · 2019Article
- Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways.Environmental science & technology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundComputational exposure science represents a frontier of environmental science that is emerging and quickly evolving.
objectivesIn this commentary, we define this burgeoning discipline, describe a framework for implementation, and review some key ongoing research elements that are advancing the science with respect to exposure to chemicals in consumer products. DISCUSSION: The fundamental elements of computational exposure science include the development of reliable, computationally efficient predictive exposure models; the identification, acquisition, and application of data to support and evaluate these models; and generation of improved methods for extrapolating across chemicals. We describe our efforts in each of these areas and provide examples that demonstrate both progress and potential.
conclusionsComputational exposure science, linked with comparable efforts in toxicology, is ushering in a new era of risk assessment that greatly expands our ability to evaluate chemical safety and sustainability and to protect public health. CITATION: Egeghy PP, Sheldon LS, Isaacs KK, Özkaynak H, Goldsmith M-R, Wambaugh JF, Judson RS, Buckley TJ. 2016. Computational exposure science: an emerging discipline to support 21st-century risk assessment. Environ Health Perspect 124:697-702; http://dx.doi.org/10.1289/ehp.1509748.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.