The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Open accessAbstract
The Ribosomal Database Project (RDP) Classifier, a naïve Bayesian classifier, can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes (2nd ed., release 5.0, Springer-Verlag, New York, NY, 2004). It provides taxonomic assignments from domain to genus, with confidence estimates for each assignment. The majority of classifications (98%) were of high estimated confidence (≥95%) and high accuracy (98%). In addition to being tested with the corpus of 5,014 type strain sequences from Bergey's outline, the RDP Classifier was tested with a corpus of 23,095 rRNA sequences as assigned by the NCBI into their alternative higher-order taxonomy. The results from leave-one-out testing on both corpora show that the overall accuracies at all levels of confidence for near-full-length and 400-base segments were 89% or above down to the genus level, and the majority of the classification errors appear to be due to anomalies in the current taxonomies. For shorter rRNA segments, such as those that might be generated by pyrosequencing, the error rate varied greatly over the length of the 16S rRNA gene, with segments around the V2 and V4 variable regions giving the lowest error rates. The RDP Classifier is suitable both for the analysis of single rRNA sequences and for the analysis of libraries of thousands of sequences. Another related tool, RDP Library Compare, was developed to facilitate microbial-community comparison based on 16S rRNA gene sequence libraries. It combines the RDP Classifier with a statistical test to flag taxa differentially represented between samples. The RDP Classifier and RDP Library Compare are available online at http://rdp.cme.msu.edu/ .
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Cited by
Items 301–400 of 438
Segregation of age-related skin microbiome characteristics by functionality
Kim, H.-J., Kim, J. J., Myeong, N. R., Kim, T., Kim, D., An, S., Kim, H., Park, T., Jang, S. I., Yeon, J. H., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-53266-3 · Cited by 113
A Global Survey of Mycobacterial Diversity in Soil
Walsh, C. M., Gebert, M. J., Delgado-Baquerizo, M., Maestre, F. T., & Fierer, N. (2019) · Applied and Environmental Microbiology · doi:10.1128/aem.01180-19 · Cited by 111
Salivary Microbiota and Metabolome Associated with Celiac Disease
Francavilla, R., Ercolini, D., Piccolo, M., Vannini, L., Siragusa, S., De Filippis, F., De Pasquale, I., Di Cagno, R., Di Toma, M., Gozzi, G., et al. (2014) · Applied and Environmental Microbiology · doi:10.1128/aem.00362-14 · Cited by 111
Abujabhah, I. S., Doyle, R. B., Bound, S. A., & Bowman, J. P. (2018) · Journal of Soils and Sediments · doi:10.1007/s11368-017-1733-1 · Cited by 111
Stehlikova, Z., Kostovcik, M., Kostovcikova, K., Kverka, M., Juzlova, K., Rob, F., Hercogova, J., Bohac, P., Pinto, Y., Uzan, A., et al. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00438 · Cited by 105
Zheng, L., Crippen, T. L., Holmes, L., Singh, B., Pimsler, M. L., Benbow, M. E., Tarone, A. M., Dowd, S., Yu, Z., Vanlaerhoven, S. L., et al. (2013) · Scientific Reports · doi:10.1038/srep02563 · Cited by 110
Does dysbiotic endometrium affect blastocyst implantation in IVF patients?
Hashimoto, T., & Kyono, K. (2019) · Journal of Assisted Reproduction and Genetics · doi:10.1007/s10815-019-01630-7 · Cited by 109
Underwood, M. A., Arriola, J., Gerber, C. W., Kaveti, A., Kalanetra, K. M., Kananurak, A., Bevins, C. L., Mills, D. A., & Dvorak, B. (2014) · Pediatric Research · doi:10.1038/pr.2014.102 · Cited by 107
Urinary Microbiome and Psychological Factors in Women with Overactive Bladder
Wu, P., Chen, Y., Zhao, J., Zhang, G., Chen, J., Wang, J., & Zhang, H. (2017) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2017.00488 · Cited by 99
Avershina, E., Storrø, O., Øien, T., Johnsen, R., Wilson, R., Egeland, T., & Rudi, K. (2013) · Applied and Environmental Microbiology · doi:10.1128/aem.02359-12 · Cited by 101
Featured article: Structure moderation of gut microbiota in liraglutide-treated diabetic male rats
Zhang, Q., Xiao, X., Zheng, J., Li, M., Yu, M., Ping, F., Wang, T., & Wang, X. (2018) · Experimental Biology and Medicine · doi:10.1177/1535370217743765 · Cited by 101
Wallace, R. J., Rooke, J. A., Duthie, C.-A., Hyslop, J. J., Ross, D. W., McKain, N., de Souza, S. M., Snelling, T. J., Waterhouse, A., & Roehe, R. (2014) · Scientific Reports · doi:10.1038/srep05892 · Cited by 100
Figueroa-Romero, C., Guo, K., Murdock, B. J., Paez-Colasante, X., Bassis, C. M., Mikhail, K. A., Raue, K. D., Evans, M. C., Taubman, G. F., McDermott, A. J., et al. (2019) · Disease Models & Mechanisms · doi:10.1242/dmm.041947 · Cited by 94
Samo, T. J., Kimbrel, J. A., Nilson, D. J., Pett‐Ridge, J., Weber, P. K., & Mayali, X. (2018) · Environmental Microbiology · doi:10.1111/1462-2920.14357 · Cited by 87
Xu, Z., He, H., Zhang, S., & Kong, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-14052-1 · Cited by 94
The dynamics of the bacterial communities developed in maize silage
Gharechahi, J., Kharazian, Z. A., Sarikhan, S., Jouzani, G. S., Aghdasi, M., & Hosseini Salekdeh, G. (2017) · Microbial Biotechnology · doi:10.1111/1751-7915.12751 · Cited by 89
Salami, S. A., Valenti, B., Bella, M., O ' Grady, M. N., Luciano, G., Kerry, J. P., Jones, E., Priolo, A., & Newbold, C. J. (2018) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiy061 · Cited by 91
Fajstova, A., Galanova, N., Coufal, S., Malkova, J., Kostovcik, M., Cermakova, M., Pelantova, H., Kuzma, M., Sediva, B., Hudcovic, T., et al. (2020) · Cells · doi:10.3390/cells9122701 · Cited by 90
Mills, J. G., Bissett, A., Gellie, N. J. C., Lowe, A. J., Selway, C. A., Thomas, T., Weinstein, P., Weyrich, L. S., & Breed, M. F. (2020) · Restoration Ecology · doi:10.1111/rec.13175 · Cited by 90
Luk, B., Veeraragavan, S., Engevik, M., Balderas, M., Major, A., Runge, J., Luna, R. A., & Versalovic, J. (2018) · PLOS ONE · doi:10.1371/journal.pone.0196510 · Cited by 90
Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests
Müller, J., Mitesser, O., Schaefer, H. M., Seibold, S., Busse, A., Kriegel, P., Rabl, D., Gelis, R., Arteaga, A., Freile, J., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41693-w · Cited by 89
Kato, T., Fukuda, S., Fujiwara, A., Suda, W., Hattori, M., Kikuchi, J., & Ohno, H. (2014) · DNA Research · doi:10.1093/dnares/dsu013 · Cited by 88
Garcia, S. S., Blackledge, M. S., Michalek, S., Su, L., Ptacek, T., Eipers, P., Morrow, C., Lefkowitz, E. J., Melander, C., & Wu, H. (2017) · Journal of Dental Research · doi:10.1177/0022034517698096 · Cited by 88
Nature-derived microbiota exposure as a novel immunomodulatory approach
Nurminen, N., Lin, J., Grönroos, M., Puhakka, R., Kramna, L., Vari, H. K., Viskari, H., Oikarinen, S., Roslund, M., Parajuli, A., et al. (2018) · Future Microbiology · doi:10.2217/fmb-2017-0286 · Cited by 80
Ruiz, A., Cerdó, T., Jáuregui, R., Pieper, D. H., Marcos, A., Clemente, A., García, F., Margolles, A., Ferrer, M., Campoy, C., et al. (2017) · Environmental Microbiology · doi:10.1111/1462-2920.13713 · Cited by 85
Djukovic, A., Garzón, M. J., Canlet, C., Cabral, V., Lalaoui, R., García-Garcerá, M., Rechenberger, J., Tremblay-Franco, M., Peñaranda, I., Puchades-Carrasco, L., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33313-w · Cited by 85
Monk, J. M., Lepp, D., Wu, W., Pauls, K. P., Robinson, L. E., & Power, K. A. (2017) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2017.08.002 · Cited by 85
Shaping of Intestinal Microbiota in Nlrp6- and Rag2-Deficient Mice Depends on Community Structure
Gálvez, E. J. C., Iljazovic, A., Gronow, A., Flavell, R., & Strowig, T. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.12.027 · Cited by 81
Zhang, F., Xu, H., Shelobolina, E. S., Konishi, H., Converse, B., Shen, Z., & Roden, E. E. (2015) · American Mineralogist · doi:10.2138/am-2015-4999 · Cited by 81
“(Color online.) ceae (SRB, comprising 13% of the total reads), and Bacillales (fermenting bacteria, comprising 13% of the total reads), while the remaining 2% of reads were classified only as “bacteria” by RDP.”
MethodRobust direct digital-to-biological data storage in living cells.
Yim, S. S., McBee, R. M., Song, A. M., Huang, Y., Sheth, R. U., & Wang, H. H. (2021) · Nature Chemical Biology · doi:10.1038/s41589-020-00711-4 · Cited by 83
Calabrese, F. M., Ameur, H., Nikoloudaki, O., Celano, G., Vacca, M., Junior, W. J., Manzari, C., Vertè, F., Di Cagno, R., Pesole, G., et al. (2022) · Microbiome · doi:10.1186/s40168-022-01301-3 · Cited by 85
Instability of the faecal microbiota in diarrhoea-predominant irritable bowel syndrome
Durbán, A., Abellán, J. J., Jiménez-Hernández, N., Artacho, A., Garrigues, V., Ortiz, V., Ponce, J., Latorre, A., & Moya, A. (2013) · FEMS Microbiology Ecology · doi:10.1111/1574-6941.12184 · Cited by 83
Bacterial Dynamics of Wheat Silage
Keshri, J., Chen, Y., Pinto, R., Kroupitski, Y., Weinberg, Z. G., & Sela Saldinger, S. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.01532 · Cited by 82
Microbial embryonal colonization during pipefish male pregnancy
Beemelmanns, A., Poirier, M., Bayer, T., Kuenzel, S., & Roth, O. (2019) · Scientific Reports · doi:10.1038/s41598-018-37026-3 · Cited by 78
Fang, S., Xiong, X., Su, Y., Huang, L., & Chen, C. (2017) · BMC Microbiology · doi:10.1186/s12866-017-1055-x · Cited by 80
Mourani, P. M., Harris, J. K., Sontag, M. K., Robertson, C. E., & Abman, S. H. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025959 · Cited by 78
Xing, B.-S., Han, Y., Wang, X. C., Ma, J., Cao, S., Li, Q., Wen, J., & Yuan, H. (2020) · Water Research · doi:10.1016/j.watres.2019.115099 · Cited by 76
Sato, H., Zhang, L. S., Martinez, K., Chang, E. B., Yang, Q., Wang, F., Howles, P. N., Hokari, R., Miura, S., & Tso, P. (2016) · Gastroenterology · doi:10.1053/j.gastro.2016.07.009 · Cited by 75
Kellingray, L., Tapp, H. S., Saha, S., Doleman, J. F., Narbad, A., & Mithen, R. F. (2017) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201600992 · Cited by 74
Pataky, Z., Genton, L., Spahr, L., Lazarevic, V., Terraz, S., Gaïa, N., Rubbia-Brandt, L., Golay, A., Schrenzel, J., & Pichard, C. (2016) · Digestive Diseases and Sciences · doi:10.1007/s10620-016-4179-1 · Cited by 75
Van den Abbeele, P., Verstrepen, L., Ghyselinck, J., Albers, R., Marzorati, M., & Mercenier, A. (2020) · Nutrients · doi:10.3390/nu12071917 · Cited by 73
Pitta, D. W., Indugu, N., Vecchiarelli, B., Rico, D. E., & Harvatine, K. J. (2018) · Journal of Dairy Science · doi:10.3168/jds.2016-12514 · Cited by 73
SanMiguel, A. J., Meisel, J. S., Horwinski, J., Zheng, Q., Bradley, C. W., & Grice, E. A. (2018) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2018.04.022 · Cited by 72
Tet2 deficiency drives liver microbiome dysbiosis triggering Tc1 cell autoimmune hepatitis
Pandey, S. P., Bender, M. J., McPherson, A. C., Phelps, C. M., Sanchez, L. M., Rana, M., Hedden, L., Sangani, K. A., Chen, L., Shapira, J. H., et al. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.05.006 · Cited by 72
Drouin, P., Tremblay, J., & Chaucheyras-Durand, F. (2019) · Microorganisms · doi:10.3390/microorganisms7120595 · Cited by 71
Caspase deficiency alters the murine gut microbiome
Brinkman, B. M., Hildebrand, F., Kubica, M., Goosens, D., Del Favero, J., Declercq, W., Raes, J., & Vandenabeele, P. (2011) · Cell Death & Disease · doi:10.1038/cddis.2011.101 · Cited by 70
Zhan, Y., Liu, W., Bao, Y., Zhang, J., Petropoulos, E., Li, Z., Lin, X., & Feng, Y. (2018) · Scientific Reports · doi:10.1038/s41598-018-26375-8 · Cited by 68
Estrogen protection against EAE modulates the microbiota and mucosal-associated regulatory cells
Benedek, G., Zhang, J., Nguyen, H., Kent, G., Seifert, H. A., Davin, S., Stauffer, P., Vandenbark, A. A., Karstens, L., Asquith, M., et al. (2017) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2017.06.007 · Cited by 64
Multi-omics Analysis of Periodontal Pocket Microbial Communities Pre- and Posttreatment
Califf, K. J., Schwarzberg-Lipson, K., Garg, N., Gibbons, S. M., Caporaso, J. G., Slots, J., Cohen, C., Dorrestein, P. C., & Kelley, S. T. (2017) · mSystems · doi:10.1128/msystems.00016-17 · Cited by 66
Diet may influence the oral microbiome composition in cats
Adler, C. J., Malik, R., Browne, G. V., & Norris, J. M. (2016) · Microbiome · doi:10.1186/s40168-016-0169-y · Cited by 65
Wessels, J. M., Lajoie, J., Vitali, D., Omollo, K., Kimani, J., Oyugi, J., Cheruiyot, J., Kimani, M., Mungai, J. N., Akolo, M., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0187612 · Cited by 64
Nasopharyngeal microbiome diversity changes over time in children with asthma
Pérez-Losada, M., Alamri, L., Crandall, K. A., & Freishtat, R. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170543 · Cited by 63
Ejtahed, H.-S., Tito, R. Y., Siadat, S.-D., Hasani-Ranjbar, S., Hoseini-Tavassol, Z., Rymenans, L., Verbeke, K., Soroush, A.-R., Raes, J., & Larijani, B. (2019) · European Journal of Endocrinology · doi:10.1530/eje-18-0826 · Cited by 63
Le Barz, M., Daniel, N., Varin, T. V., Naimi, S., Demers‐Mathieu, V., Pilon, G., Audy, J., Laurin, É., Roy, D., Urdaci, M. C., et al. (2019) · The FASEB Journal · doi:10.1096/fj.201801672r · Cited by 63
Crescenzo, R., Mazzoli, A., Di Luccia, B., Bianco, F., Cancelliere, R., Cigliano, L., Liverini, G., Baccigalupi, L., & Iossa, S. (2017) · Food & Nutrition Research · doi:10.1080/16546628.2017.1331657 · Cited by 63
Shuai, M., Zuo, L.-S.-Y., Miao, Z., Gou, W., Xu, F., Jiang, Z., Ling, C.-W., Fu, Y., Xiong, F., Chen, Y.-M., et al. (2021) · eBioMedicine · doi:10.1016/j.ebiom.2021.103284 · Cited by 61
Lyte, M., Chapel, A., Lyte, J. M., Ai, Y., Proctor, A., Jane, J.-L., & Phillips, G. J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0146406 · Cited by 62
Exploring the reservoir of potential fungal plant pathogens in agricultural soil
Agtmaal, M. V., Straathof, A., Termorshuizen, A., Teurlincx, S., Hundscheid, M., Ruyters, S., Busschaert, P., Lievens, B., & Boer, W. D. (2017) · Applied Soil Ecology · doi:10.1016/j.apsoil.2017.09.032 · Cited by 62
Cooper, D., Kable, M., Marco, M., De Leon, A., Rust, B., Baker, J., Horn, W., Burnett, D., & Keim, N. (2017) · Nutrients · doi:10.3390/nu9020173 · Cited by 61
Quercetin metabolism by fecal microbiota from healthy elderly human subjects
Tamura, M., Hoshi, C., Kobori, M., Takahashi, S., Tomita, J., Nishimura, M., & Nishihira, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188271 · Cited by 60
Native soil fungi associated with compostable plastics in three contrasting agricultural settings
Moore-Kucera, J., Cox, S. B., Peyron, M., Bailes, G., Kinloch, K., Karich, K., Miles, C., Inglis, D. A., & Brodhagen, M. (2014) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-014-5711-x · Cited by 58
Kearney, S. M., Gibbons, S. M., Poyet, M., Gurry, T., Bullock, K., Allegretti, J. R., Clish, C. B., & Alm, E. J. (2018) · The ISME Journal · doi:10.1038/s41396-018-0192-z · Cited by 59
Drouin, P., Tremblay, J., Renaud, J., & Apper, E. (2021) · MicrobiologyOpen · doi:10.1002/mbo3.1153 · Cited by 60
Poudel, P., Froehlich, K., Casper, D. P., & St-Pierre, B. (2019) · Microorganisms · doi:10.3390/microorganisms7050120 · Cited by 58
Abecia, L., Jiménez, E., Martínez-Fernandez, G., Martín-García, A. I., Ramos-Morales, E., Pinloche, E., Denman, S. E., Newbold, C. J., & Yáñez-Ruiz, D. R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182235 · Cited by 59
Ringel-Kulka, T., Benson, A. K., Carroll, I. M., Kim, J., Legge, R. M., & Ringel, Y. (2016) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00044.2015 · Cited by 53
Ashworth, A., Clarke, C., Farnham, G., Liddle, L., Burleigh, M., Rodiles, A., Sillitti, C., Kiernan, M., Moore, M., Hickson, M., et al. (2019) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2019.05.010 · Cited by 56
Kang, D.-W., DiBaise, J. K., Ilhan, Z. E., Crowell, M. D., Rideout, J. R., Caporaso, J. G., Rittmann, B. E., & Krajmalnik-Brown, R. (2015) · Anaerobe · doi:10.1016/j.anaerobe.2015.01.005 · Cited by 55
Lehr, K., Nikitina, D., Vilchez-Vargas, R., Steponaitiene, R., Thon, C., Skieceviciene, J., Schanze, D., Zenker, M., Malfertheiner, P., Kupcinskas, J., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-31740-3 · Cited by 54
Oral, Nasal, and Gut Microbiota in Parkinson’s Disease
Li, Z., Lu, G., Luo, E., Wu, B., Li, Z., Guo, J., Xia, Z., Zheng, C., Su, Q., Zeng, Y., et al. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2021.10.011 · Cited by 52
Response of the human gut and saliva microbiome to urbanization in Cameroon
Lokmer, A., Aflalo, S., Amougou, N., Lafosse, S., Froment, A., Tabe, F. E., Poyet, M., Groussin, M., Said-Mohamed, R., & Ségurel, L. (2020) · Scientific Reports · doi:10.1038/s41598-020-59849-9 · Cited by 46
Karl, J. P., Fu, X., Wang, X., Zhao, Y., Shen, J., Zhang, C., Wolfe, B. E., Saltzman, E., Zhao, L., & Booth, S. L. (2015) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.109496 · Cited by 53
Probing the diversity of healthy oral microbiome with bioinformatics approaches
Moon, J.-H., & Lee, J.-H. (2016) · BMB Reports · doi:10.5483/bmbrep.2016.49.12.164 · Cited by 53
Different Flavonoids Can Shape Unique Gut Microbiota Profile In Vitro
Huang, J., Chen, L., Xue, B., Liu, Q., Ou, S., Wang, Y., & Peng, X. (2016) · Journal of Food Science · doi:10.1111/1750-3841.13411 · Cited by 52
Dietary Habits of 2- to 9-Year-Old American Children Are Associated with Gut Microbiome Composition
Herman, D. R., Rhoades, N., Mercado, J., Argueta, P., Lopez, U., & Flores, G. E. (2020) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2019.07.024 · Cited by 50
Lane, J. M., Delavaux, C. S., Van Koppen, L., Lu, P., Cade-Menun, B. J., Tremblay, J., & Bainard, L. D. (2022) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2022.108858 · Cited by 51
Repurposing Metformin in Nondiabetic People With HIV: Influence on Weight and Gut Microbiota
Isnard, S., Lin, J., Fombuena, B., Ouyang, J., Varin, T. V., Richard, C., Marette, A., Ramendra, R., Planas, D., Raymond Marchand, L., et al. (2020) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofaa338 · Cited by 51
Shaikh, F. Y., White, J. R., Gills, J. J., Hakozaki, T., Richard, C., Routy, B., Okuma, Y., Usyk, M., Pandey, A., Weber, J. S., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-4834 · Cited by 44
Wang, C., Zuo, J., Chen, X., Xing, W., Xing, L., Li, P., Lu, X., & Li, C. (2014) · Journal of Environmental Sciences · doi:10.1016/j.jes.2014.06.035 · Cited by 47
Chen, Z., Li, W., Qin, W., Sun, C., Wang, J., & Wen, X. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.137566 · Cited by 46
Vaidya, J. D., van den Bogert, B., Edwards, J. E., Boekhorst, J., van Gastelen, S., Saccenti, E., Plugge, C. M., & Smidt, H. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00092 · Cited by 46
Cui, C., Hong, H., Shi, Y., Zhou, Y., Qiao, C.-M., Zhao, W.-J., Zhao, L.-P., Wu, J., Quan, W., Niu, G.-Y., et al. (2023) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-021-10047-y · Cited by 45
Demircan, T., Ovezmyradov, G., Yıldırım, B., Keskin, İ., İlhan, A. E., Fesçioğlu, E. C., Öztürk, G., & Yıldırım, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-29373-y · Cited by 45
Luo, T., Srinivasan, U., Ramadugu, K., Shedden, K. A., Neiswanger, K., Trumble, E., Li, J. J., McNeil, D. W., Crout, R. J., Weyant, R. J., et al. (2016) · Applied and Environmental Microbiology · doi:10.1128/aem.01132-16 · Cited by 45
Wang, Y., Liu, Y., Wang, J., Luo, T., Zhang, R., Sun, J., Zheng, Q., & Jiao, N. (2019) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2019.03.035 · Cited by 45
Zapała, B., Stefura, T., Wójcik-Pędziwiatr, M., Kabut, R., Bałajewicz-Nowak, M., Milewicz, T., Dudek, A., Stój, A., & Rudzińska-Bar, M. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10235698 · Cited by 44
Heinberg, L. J., Bond, D. S., Carroll, I., Crosby, R., Fodor, A., Fouladi, F., Gunstad, J., Mitchell, J., Peat, C., & Steffen, K. (2020) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2020.06.020 · Cited by 43
Nothaft, D. B., Templeton, A. S., Rhim, J. H., Wang, D. T., Labidi, J., Miller, H. M., Boyd, E. S., Matter, J. M., Ono, S., Young, E. D., et al. (2021) · Journal of Geophysical Research: Biogeosciences · doi:10.1029/2020jg006025 · Cited by 44
Keskitalo, A., Aatsinki, A.-K., Kortesluoma, S., Pelto, J., Korhonen, L., Lahti, L., Lukkarinen, M., Munukka, E., Karlsson, H., & Karlsson, L. (2021) · Stress · doi:10.1080/10253890.2021.1895110 · Cited by 44
Fugl, A., Berhe, T., Kiran, A., Hussain, S., Laursen, M. F., Bahl, M. I., Hailu, Y., Sørensen, K. I., Guya, M. E., Ipsen, R., et al. (2017) · International Dairy Journal · doi:10.1016/j.idairyj.2017.04.007 · Cited by 44
Influence of Photobioreactor Set-up on the Survival of Microalgae Inoculum
Bani, A., Fernandez, F. G. A., D'Imporzano, G., Parati, K., & Adani, F. (2021) · Bioresource Technology · doi:10.1016/j.biortech.2020.124408 · Cited by 42
Foulon, J., Zappelini, C., Durand, A., Valot, B., Blaudez, D., & Chalot, M. (2016) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiw163 · Cited by 42
Wang, X., Shang, Y., Wei, Q., Wu, X., Dou, H., Zhang, H., Zhou, S., Sha, W., Sun, G., Ma, S., et al. (2022) · Microbial Ecology · doi:10.1007/s00248-021-01806-8 · Cited by 36
Exploring the bacterial assemblages along the human nasal passage
Wos‐Oxley, M. L., Chaves‐Moreno, D., Jáuregui, R., Oxley, A. P. A., Kaspar, U., Plumeier, I., Kahl, S., Rudack, C., Becker, K., & Pieper, D. H. (2016) · Environmental Microbiology · doi:10.1111/1462-2920.13378 · Cited by 40
High-resolution microbiome profiling for detection and tracking of Salmonella enterica
Grim, C. J., Daquigan, N., Lusk Pfefer, T. S., Ottesen, A. R., White, J. R., & Jarvis, K. G. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01587 · Cited by 36
Hwang, B. K., Lee, S., Myoung, J., Hwang, S. J., Lim, J. M., Jeong, E. T., Park, S. G., & Youn, S. H. (2021) · MicrobiologyOpen · doi:10.1002/mbo3.1236 · Cited by 36
Shen, Y.-C., Lee, P.-C., Kuo, Y.-L., Wu, W.-K., Chen, C.-C., Lei, C.-H., Yeh, C.-P., Hsu, C., Hsu, C.-H., Lin, Z.-Z., et al. (2021) · Journal of Hepatocellular Carcinoma · doi:10.2147/jhc.s315696 · Cited by 36
Castro-Severyn, J., Pardo-Esté, C., Mendez, K. N., Fortt, J., Marquez, S., Molina, F., Castro-Nallar, E., Remonsellez, F., & Saavedra, C. P. (2021) · Microbiology Spectrum · doi:10.1128/spectrum.00444-21 · Cited by 36
Chai, L.-J., Shen, M.-N., Sun, J., Deng, Y.-J., Lu, Z.-M., Zhang, X.-J., Shi, J.-S., & Xu, Z.-H. (2020) · Food Microbiology · doi:10.1016/j.fm.2020.103559 · Cited by 36
Metadata
- Authors
- Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2007-08-15
- Volume
- 73
- Issue
- 16
- Pages
- 5261-5267
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W2152885278
- Cited by
- 19,885
- References
- 1
- FWCI
- 51.96
- Type
- journal article
- Language
- en
- Open access
- green
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
