The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
16S rRNA-based assays for quantitative detection of universal, human-, cow-, and dog-specific fecal Bacteroidales: A Bayesian approach
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Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
Rapid and simple method for purification of nucleic acids
Boom, R., Sol, C. J., Salimans, M. M., Jansen, C. L., Wertheim-van Dillen, P. M., & van der Noordaa, J. (1990) · Journal of Clinical Microbiology · doi:10.1128/jcm.28.3.495-503.1990 · Cited by 5,266
Continuous Fluorescence Monitoring of Rapid Cycle DNA Amplification
Wittwer, C. T., Herrmann, M. G., Moss, A. A., & Rasmussen, R. P. (2013) · BioTechniques · doi:10.2144/000114043 · Cited by 1,274
Continuous Fluorescence Monitoring of Rapid Cycle DNA Amplification
Wittwer, C. T., Herrmann, M. G., Moss, A. A., & Rasmussen, R. P. (1997) · BioTechniques · doi:10.2144/97221bi01 · Cited by 1,143
Quantification of low-copy transcripts by continuous SYBR Green I monitoring during amplification.
Morrison, T. B., Weis, J. J., & Wittwer, C. T. (1998) · PubMed · Cited by 958
Bernhard, A. E., & Field, K. G. (2000) · Applied and Environmental Microbiology · doi:10.1128/aem.66.10.4571-4574.2000 · Cited by 692
Layton, A., McKay, L., Williams, D., Garrett, V., Gentry, R., & Sayler, G. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.01036-05 · Cited by 563
Bernhard, A. E., & Field, K. G. (2000) · Applied and Environmental Microbiology · doi:10.1128/aem.66.4.1587-1594.2000 · Cited by 515
Seurinck, S., Defoirdt, T., Verstraete, W., & Siciliano, S. D. (2005) · Environmental Microbiology · doi:10.1111/j.1462-2920.2004.00702.x · Cited by 364
Dick, L. K., Bernhard, A. E., Brodeur, T. J., Santo Domingo, J. W., Simpson, J. M., Walters, S. P., & Field, K. G. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.6.3184-3191.2005 · Cited by 294
Cited by
Performance of forty-one microbial source tracking methods: A twenty-seven lab evaluation study
Boehm, A. B., Van De Werfhorst, L. C., Griffith, J. F., Holden, P. A., Jay, J. A., Shanks, O. C., Wang, D., & Weisberg, S. B. (2013) · Water Research · doi:10.1016/j.watres.2012.12.046 · Cited by 313
Sidhu, J. P. S., Ahmed, W., Gernjak, W., Aryal, R., McCarthy, D., Palmer, A., Kolotelo, P., & Toze, S. (2013) · Science of The Total Environment · doi:10.1016/j.scitotenv.2013.06.020 · Cited by 209
Kapoor, V., Gupta, I., Pasha, A. B. M. T., & Phan, D. (2018) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.8b00237 · Cited by 66
Metadata
- Authors
- Kildare, B. J., Leutenegger, C. M., McSwain, B. S., Bambic, D. G., Rajal, V. B., & Wuertz, S.
- Venue
- Water Research
- Publisher
- Elsevier BV
- Published
- 2007-08
- Volume
- 41
- Issue
- 16
- Pages
- 3701-3715
- ISSN
- 0043-1354 (ISSN-L)
- OpenAlex
- W1981675027
- Cited by
- 451
- References
- 16
- FWCI
- 23.97
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
Statistics and arithmetic are recomputed, not judged.
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- This page
- CoChat. (2026). Citation check: 16S rRNA-based assays for quantitative detection of universal, human-, cow-, and dog-specific fecal Bacteroidales: A Bayesian approach. https://app.cochat.ai/papers/10.1016/j.watres.2007.06.037
- The paper
- Kildare, B. J., Leutenegger, C. M., McSwain, B. S., Bambic, D. G., Rajal, V. B., & Wuertz, S. (2007). 16S rRNA-based assays for quantitative detection of universal, human-, cow-, and dog-specific fecal Bacteroidales: A Bayesian approach. Water Research. https://doi.org/10.1016/j.watres.2007.06.037
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.