The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Data-intensive science applied to broad-scale citizen science
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Citations
Cites
Generalized Additive Models: An Introduction with R
Wood, S. N. (2017) · doi:10.1201/9781315370279 · Cited by 13,852
eBird: A citizen-based bird observation network in the biological sciences
Sullivan, B. L., Wood, C. L., Iliff, M. J., Bonney, R. E., Fink, D., & Kelling, S. (2009) · Biological Conservation · doi:10.1016/j.biocon.2009.05.006 · Cited by 2,017
Self-citationLintott, C. J., Schawinski, K., Slosar, A., Land, K., Bamford, S., Thomas, D., Raddick, M. J., Nichol, R. C., Szalay, A., Andreescu, D., et al. (2008) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2008.13689.x · Cited by 1,488
Distorted Views of Biodiversity: Spatial and Temporal Bias in Species Occurrence Data
Boakes, E. H., McGowan, P. J. K., Fuller, R. A., Chang-qing, D., Clark, N. E., O'Connor, K., & Mace, G. M. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000385 · Cited by 824
Kell, D. B., & Oliver, S. G. (2004) · BioEssays · doi:10.1002/bies.10385 · Cited by 535
Cited by
The diversity and evolution of ecological and environmental citizen science
Pocock, M. J. O., Tweddle, J. C., Savage, J., Robinson, L. D., & Roy, H. E. (2017) · PLOS ONE · doi:10.1371/journal.pone.0172579 · Cited by 359
Situating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions
Farley, S. S., Dawson, A., Goring, S. J., & Williams, J. W. (2018) · BioScience · doi:10.1093/biosci/biy068 · Cited by 331
Smart Earth: A meta-review and implications for environmental governance
Bakker, K., & Ritts, M. (2018) · Global Environmental Change · doi:10.1016/j.gloenvcha.2018.07.011 · Cited by 244
A Vision for Global Biodiversity Monitoring With Citizen Science
(2018) · Advances in Ecological Research · doi:10.1016/bs.aecr.2018.06.003 · Cited by 228
Animal biometrics: quantifying and detecting phenotypic appearance
Kühl, H. S., & Burghardt, T. (2013) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2013.02.013 · Cited by 189
Metadata
- Authors
- Hochachka, W. M., Fink, D., Hutchinson, R. A., Sheldon, D., Wong, W.-K., & Kelling, S.
- Venue
- Trends in Ecology & Evolution
- Publisher
- Elsevier BV
- Published
- 2012-02
- Volume
- 27
- Issue
- 2
- Pages
- 130-137
- ISSN
- 0169-5347 (ISSN-L)
- OpenAlex
- W2111946420
- Cited by
- 412
- References
- 5
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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How to cite
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- This page
- CoChat. (2026). Citation check: Data-intensive science applied to broad-scale citizen science. https://app.cochat.ai/papers/10.1016/j.tree.2011.11.006
- The paper
- Hochachka, W. M., Fink, D., Hutchinson, R. A., Sheldon, D., Wong, W.-K., & Kelling, S. (2012). Data-intensive science applied to broad-scale citizen science. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2011.11.006
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.
