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Nonparametric estimation of Shannon’s index of diversity when there are unseen species in sample
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De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579
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Green gentrification in European and North American cities
Anguelovski, I., Connolly, J. J. T., Cole, H., Garcia-Lamarca, M., Triguero-Mas, M., Baró, F., Martin, N., Conesa, D., Shokry, G., del Pulgar, C. P., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31572-1 · Cited by 471
Understanding brain networks and brain organization
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“where S = 20 was the number of task domains and pi corresponded to the ith domain proportion (for an improved Shannon index, see [158]).”
BackgroundBeyond the Tripartite Cognition–Emotion–Interoception Model of the Human Insular Cortex
Uddin, L. Q., Kinnison, J., Pessoa, L., & Anderson, M. L. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00462 · Cited by 275
Changes in cystic fibrosis airway microbiota at pulmonary exacerbation
Carmody, L. A., Zhao, J., Schloss, P. D., Petrosino, J. F., Murray, S., Young, V. B., Li, J. Z., & LiPuma, J. J. (2013) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201211-107oc · Cited by 239
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Miho, E., Yermanos, A., Weber, C. R., Berger, C. T., Reddy, S. T., & Greiff, V. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00224 · Cited by 189
Greiff, V., Bhat, P., Cook, S. C., Menzel, U., Kang, W., & Reddy, S. T. (2015) · Genome Medicine · doi:10.1186/s13073-015-0169-8 · Cited by 181
Yeoman, C. J., Ishaq, S. L., Bichi, E., Olivo, S. K., Lowe, J., & Aldridge, B. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-21440-8 · Cited by 168
Levy-Jurgenson, A., Tekpli, X., Kristensen, V. N., & Yakhini, Z. (2020) · Scientific Reports · doi:10.1038/s41598-020-75708-z · Cited by 155
Carmody, L. A., Zhao, J., Kalikin, L. M., LeBar, W., Simon, R. H., Venkataraman, A., Schmidt, T. M., Abdo, Z., Schloss, P. D., & LiPuma, J. J. (2015) · Microbiome · doi:10.1186/s40168-015-0074-9 · Cited by 135
Ishaq, S. L., AlZahal, O., Walker, N., & McBride, B. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01943 · Cited by 61
Changes in microbiota during experimental human Rhinovirus infection
Hofstra, J. J., Matamoros, S., van de Pol, M. A., de Wever, B., Tanck, M. W., Wendt-Knol, H., Deijs, M., van der Hoek, L., Wolthers, K. C., Molenkamp, R., et al. (2015) · BMC Infectious Diseases · doi:10.1186/s12879-015-1081-y · Cited by 50
Rubelt, F., Sievert, V., Knaust, F., Diener, C., Lim, T. S., Skriner, K., Klipp, E., Reinhardt, R., Lehrach, H., & Konthur, Z. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049774 · Cited by 37
Effects of different substrates/growth media on microbial community of saliva-derived biofilm
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Metadata
- Authors
- Chao, A., & Shen, T.-J.
- Venue
- Environmental and Ecological Statistics
- Published
- 2003-12
- Volume
- 10
- Issue
- 4
- Pages
- 429-443
- ISSN
- 1352-8505 (ISSN-L)
- 1573-3009
- OpenAlex
- W2510474575
- Cited by
- 781
- References
- 0
- FWCI
- 3.91
- 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.
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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.