The DOI matches its Crossref record.
Vision & strategy: Predictive ecotoxicology in the 21st century
Open accessAbstract
In the 20th century, predicting ecological risk from the use of certain chemicals relied on testing programs that directly measured adverse outcomes (death, disease, reproductive failure, or developmental dysfunction) using in vivo toxicity tests.Extrapolation from these tests-from one species to another or from controlled laboratory tests to uncontrolled real-world environments-was based on largely conservative assumptions or arbitrary uncertainty factors.The result?Costly, time-consuming, unfocused, and contentious assessments that often failed to inspire public confidence in related regulatory and policy decisions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Hooper, M. J., Ankley, G. T., Cristol, D. A., Maryoung, L. A., Noyes, P. D., & Pinkerton, K. E. (2013) · Environmental Toxicology and Chemistry · doi:10.1002/etc.2043 · Cited by 390
Paradigms to assess the environmental impact of manufactured nanomaterials
Klaine, S. J., Koelmans, A. A., Horne, N., Carley, S., Handy, R. D., Kapustka, L., Nowack, B., & von der Kammer, F. (2012) · Environmental Toxicology and Chemistry · doi:10.1002/etc.733 · Cited by 371
Turner, C., Sawle, A., Fenske, M., & Cossins, A. (2012) · Environmental Toxicology and Chemistry · doi:10.1002/etc.1718 · Cited by 39
Brinkmann, M., Preuss, T. G., & Hollert, H. (2016) · Advances in Biochemical Engineering/Biotechnology · doi:10.1007/10_2015_5015 · Cited by 15
Metadata
- Authors
- Villeneuve, D. L., & Garcia-Reyero, N.
- Venue
- Environmental Toxicology and Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-01-01
- Volume
- 30
- Issue
- 1
- Pages
- 1-8
- ISSN
- 0730-7268 (ISSN-L)
- 1552-8618
- OpenAlex
- W2068612915
- Cited by
- 170
- References
- 0
- FWCI
- 10.16
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Vision & strategy: Predictive ecotoxicology in the 21st century. https://app.cochat.ai/papers/10.1002/etc.396
- The paper
- Villeneuve, D. L., & Garcia-Reyero, N. (2011). Vision & strategy: Predictive ecotoxicology in the 21st century. Environmental Toxicology and Chemistry. https://doi.org/10.1002/etc.396
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
