The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
References
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Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
An analysis of variance test for normality (complete samples)
SHAPIRO, S. S., & WILK, M. B. (1965) · Biometrika · doi:10.1093/biomet/52.3-4.591 · Cited by 23,480
Pseudoreplication and the Design of Ecological Field Experiments
Hurlbert, S. H. (1984) · Ecological Monographs · doi:10.2307/1942661 · Cited by 8,377
Hubert, L., & Arabie, P. (1985) · Journal of Classification · doi:10.1007/bf01908075 · Cited by 8,219
The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Friedman, M. (1937) · Journal of the American Statistical Association · doi:10.1080/01621459.1937.10503522 · Cited by 7,005
Agresti, A. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/0471249688 · Cited by 6,746
Hutchinson, G. E. (1957) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.1957.022.01.039 · Cited by 6,228
Ecologically meaningful transformations for ordination of species data
Legendre, P., & Gallagher, E. D. (2001) · Oecologia · doi:10.1007/s004420100716 · Cited by 5,556
Self-citation
Cited by
Global ecological impacts of invasive species in aquatic ecosystems
Gallardo, B., Clavero, M., Sánchez, M. I., & Vilà, M. (2016) · Global Change Biology · doi:10.1111/gcb.13004 · Cited by 1,245
Interpreting the replacement and richness difference components of beta diversity
Legendre, P. (2014) · Global Ecology and Biogeography · doi:10.1111/geb.12207 · Cited by 1,115
Girardin, M. P., Bouriaud, O., Hogg, E. H., Kurz, W., Zimmermann, N. E., Metsaranta, J. M., de Jong, R., Frank, D. C., Esper, J., Büntgen, U., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1610156113 · Cited by 298
Text analysis tools for identification of emerging topics and research gaps in conservation science
Westgate, M. J., Barton, P. S., Pierson, J. C., & Lindenmayer, D. B. (2015) · Conservation Biology · doi:10.1111/cobi.12605 · Cited by 123
Castorani, M. C. N., Reed, D. C., & Miller, R. J. (2018) · Ecology · doi:10.1002/ecy.2485 · Cited by 89
Metadata
- Venue
- Developments in Environmental Modelling
- Publisher
- Elsevier
- Published
- 2012
- Pages
- 907-968
- ISSN
- 0167-8892 (ISSN-L)
- OpenAlex
- W4205785327
- Cited by
- 1,320
- References
- 17
- Type
- paratext
- 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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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.