The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Multivariate analyses in microbial ecology
Open accessAbstract
Environmental microbiology is undergoing a dramatic revolution due to the increasing accumulation of biological information and contextual environmental parameters. This will not only enable a better identification of diversity patterns, but will also shed more light on the associated environmental conditions, spatial locations, and seasonal fluctuations, which could explain such patterns. Complex ecological questions may now be addressed using multivariate statistical analyses, which represent a vast potential of techniques that are still underexploited. Here, well-established exploratory and hypothesis-driven approaches are reviewed, so as to foster their addition to the microbial ecologist toolbox. Because such tools aim at reducing data set complexity, at identifying major patterns and putative causal factors, they will certainly find many applications in microbial ecology.
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
Cites
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
A new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828
Ecologically meaningful transformations for ordination of species data
Legendre, P., & Gallagher, E. D. (2001) · Oecologia · doi:10.1007/s004420100716 · Cited by 5,556
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
Generalized procrustes analysis
Gower, J. C. (1975) · Psychometrika · doi:10.1007/bf02291478 · Cited by 3,267
Cited by
Best practices for analysing microbiomes
Knight, R., Vrbanac, A., Taylor, B. C., Aksenov, A., Callewaert, C., Debelius, J., Gonzalez, A., Kosciolek, T., McCall, L.-I., McDonald, D., et al. (2018) · Nature Reviews Microbiology · doi:10.1038/s41579-018-0029-9 · Cited by 2,030
Microbial community structure and its functional implications
Fuhrman, J. A. (2009) · Nature · doi:10.1038/nature08058 · Cited by 1,382
Characterization of the gut microbiome using 16S or shotgun metagenomics
Jovel, J., Patterson, J., Wang, W., Hotte, N., O'Keefe, S., Mitchel, T., Perry, T., Kao, D., Mason, A. L., Madsen, K. L., et al. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00459 · Cited by 942
Intermittent Fasting Confers Protection in CNS Autoimmunity by Altering the Gut Microbiota
Cignarella, F., Cantoni, C., Ghezzi, L., Salter, A., Dorsett, Y., Chen, L., Phillips, D., Weinstock, G. M., Fontana, L., Cross, A. H., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.05.006 · Cited by 568
Community-wide transcriptome of the oral microbiome in subjects with and without periodontitis
Duran-Pinedo, A. E., Chen, T., Teles, R., Starr, J. R., Wang, X., Krishnan, K., & Frias-Lopez, J. (2014) · The ISME Journal · doi:10.1038/ismej.2014.23 · Cited by 327
Metadata
- Authors
- Ramette, A.
- Venue
- FEMS Microbiology Ecology
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-11
- Volume
- 62
- Issue
- 2
- Pages
- 142-160
- ISSN
- 0168-6496 (ISSN-L)
- 1574-6941
- OpenAlex
- W1878193911
- Cited by
- 1,928
- References
- 5
- FWCI
- 38.10
- 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: Multivariate analyses in microbial ecology. https://app.cochat.ai/papers/10.1111/j.1574-6941.2007.00375.x
- The paper
- Ramette, A. (2007). Multivariate analyses in microbial ecology. FEMS Microbiology Ecology. https://doi.org/10.1111/j.1574-6941.2007.00375.x
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.
