The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The importance of contamination control in airborne fibers and microplastic sampling: Experiences from indoor and outdoor air sampling in Aveiro, Portugal
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Citations
Cites
Abbasi, S., Keshavarzi, B., Moore, F., Turner, A., Kelly, F. J., Dominguez, A. O., & Jaafarzadeh, N. (2019) · Environmental Pollution · doi:10.1016/j.envpol.2018.10.039 · Cited by 770
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- Liebezeit, 2014, Synthetic particles as contaminants of German beers, Food Additives & Contaminants: Part A, 31, 1574, 10.1080/19440049.2014.945099 · DOI
- Liu, 2019, Source and potential risk assessment of suspended atmospheric microplastics in Shanghai, Sci. Total Environ., 675, 462, 10.1016/j.scitotenv.2019.04.110 · DOI · Paper page
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- Oliveira, 2019, The why and how of micro(nano)plastic research, Trends Anal. Chem., 114, 196, 10.1016/j.trac.2019.02.023 · DOI
- Prata, 2018, Airborne microplastics: consequences to human health, Environ. Pollut., 234, 115, 10.1016/j.envpol.2017.11.043 · DOI · Paper page
- Prata, 2019, A new approach for routine quantification of microplastics using Nile Red and automated software (MP-VAT), Sci. Total Environ., 690, 1277, 10.1016/j.scitotenv.2019.07.060 · DOI
- Prata, 2020, Na easy method for processing and identification of natural and synthetic microfibers and microplastics in indoor and outdoor air, MethodsX, 7, 100762, 10.1016/j.mex.2019.11.032 · DOI
- Rocha-Santos, 2015, A critical overview of the analytical approaches to the occurrence, the fate and the behavior of microplastics in the environment, Trends Anal. Chem., 65, 47, 10.1016/j.trac.2014.10.011 · DOI · Paper page
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Cited by
Sangkham, S., Faikhaw, O., Munkong, N., Sakunkoo, P., Arunlertaree, C., Chavali, M., Mousazadeh, M., & Tiwari, A. (2022) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2022.113832 · Cited by 465
Athey, S. N., & Erdle, L. M. (2022) · Environmental Toxicology and Chemistry · doi:10.1002/etc.5173 · Cited by 289
A review of analytical methods and models used in atmospheric microplastic research
Luo, X., Wang, Z., Yang, L., Gao, T., & Zhang, Y. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.154487 · Cited by 126
Rahman, L., Mallach, G., Kulka, R., & Halappanavar, S. (2021) · Nanotoxicology · doi:10.1080/17435390.2021.2018065 · Cited by 79
Metadata
- Authors
- Prata, J. C., Castro, J. L., da Costa, J. P., Duarte, A. C., Rocha-Santos, T., & Cerqueira, M.
- Venue
- Marine Pollution Bulletin
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 159
- Pages
- 111522
- ISSN
- 0025-326X
- Cited by
- 168
- References
- 1
- Language
- en
- Update notices
- erratum (2021-05-01)
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Funders
- Ministério da Ciência, Tecnologia e Ensino Superior
- Fundação para a Ciência e a Tecnologia (PD/BD/135581/2018)
- Ministério da Educação e Ciência
- European Social Fund
- Centro de Estudos Ambientais e Marinhos, Universidade de Aveiro
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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.
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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.
