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The useful plants of Tambopata, Peru: I. Statistical hypotheses tests with a new quantitative technique
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Cited by
Theories and Major Hypotheses in Ethnobotany
Gaoue, O. G., Coe, M. A., Bond, M., Hart, G., Seyler, B. C., & McMillen, H. (2017) · Economic Botany · doi:10.1007/s12231-017-9389-8 · Cited by 322
An ethnobotanical survey of indigenous medicinal plants in Hafizabad district, Punjab-Pakistan
Umair, M., Altaf, M., & Abbasi, A. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177912 · Cited by 287
Losing knowledge about plant use in the sierra de manantlan biosphere reserve, Mexico
Benz, B. F., Cevallos E., J., Santana M., F., Rosales A., J., & Graf M., S. (2000) · Economic Botany · doi:10.1007/bf02907821 · Cited by 271
Diversity of plant uses in two Caiçara communities from the Atlantic Forest coast, Brazil
Hanazaki, N., Tamashiro, J. Y., Leitão-Filho, H. F., & Begossi, A. (2000) · Biodiversity & Conservation · doi:10.1023/a:1008920301824 · Cited by 259
Tahamtan, I., & Bornmann, L. (2019) · Scientometrics · doi:10.1007/s11192-019-03243-4 · Cited by 236
Metadata
- Authors
- Phillips, O., & Gentry, A. H.
- Venue
- Economic Botany
- Published
- 1993-01
- Volume
- 47
- Issue
- 1
- Pages
- 15-32
- ISSN
- 0013-0001 (ISSN-L)
- 1874-9364
- OpenAlex
- W354718547
- Cited by
- 999
- References
- 0
- FWCI
- 5.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The useful plants of Tambopata, Peru: I. Statistical hypotheses tests with a new quantitative technique. https://app.cochat.ai/papers/10.1007/bf02862203
- The paper
- Phillips, O., & Gentry, A. H. (1993). The useful plants of Tambopata, Peru: I. Statistical hypotheses tests with a new quantitative technique. Economic Botany. https://doi.org/10.1007/bf02862203
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.