The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Patterns of Rare and Abundant Marine Microbial Eukaryotes
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RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
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VSEARCH: a versatile open source tool for metagenomics
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Insights into global diatom distribution and diversity in the world’s ocean
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Self-citationThe biogeography of abundant and rare bacterioplankton in the lakes and reservoirs of China
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Massana, R., Gobet, A., Audic, S., Bass, D., Bittner, L., Boutte, C., Chambouvet, A., Christen, R., Claverie, J., Decelle, J., et al. (2015) · Environmental Microbiology · doi:10.1111/1462-2920.12955 · Cited by 388
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Metadata
- Authors
- Logares, R., Audic, S., Bass, D., Bittner, L., Boutte, C., Christen, R., Claverie, J.-M., Decelle, J., Dolan, J. R., Dunthorn, M., Edvardsen, B., Gobet, A., Kooistra, W. H. C. F., Mahé, F., Not, F., Ogata, H., Pawlowski, J., Pernice, M. C., Romac, S., Shalchian-Tabrizi, K., Simon, N., Stoeck, T., Santini, S., Siano, R., Wincker, P., Zingone, A., Richards, T. A., de Vargas, C., & Massana, R.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 24
- Issue
- 8
- Pages
- 813-821
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W1995135945
- Cited by
- 555
- References
- 10
- FWCI
- 17.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Patterns of Rare and Abundant Marine Microbial Eukaryotes. https://app.cochat.ai/papers/10.1016/j.cub.2014.02.050
- The paper
- Logares, R., Audic, S., Bass, D., Bittner, L., Boutte, C., Christen, R., Claverie, J.-M., Decelle, J., Dolan, J. R., Dunthorn, M., Edvardsen, B., Gobet, A., Kooistra, W. H. C. F., Mahé, F., Not, F., Ogata, H., Pawlowski, J., Pernice, M. C., Romac, S., . . . Massana, R. (2014). Patterns of Rare and Abundant Marine Microbial Eukaryotes. Current Biology. https://doi.org/10.1016/j.cub.2014.02.050
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.
