The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Distinguishable Epidemics of Multidrug-Resistant Salmonella Typhimurium DT104 in Different Hosts
Open accessAbstract
Sourcing Antibiotic Resistance: It is widely assumed that antibiotic resistance in farm animals contributes in a major way to antibiotic resistance in humans. Mather et al. (p. 1514 , published online 12 September; see the Perspective by Woolhouse and Ward ) analyzed hundreds of genome sequences from Salmonella isolates collected from both livestock and patients in Scotland between 1990 and 2004. The relative contributions of animal-derived and human-derived sources of infection were quantified and the phylogenetic diversity of resistance profiles was matched with bacterial phylogenies. The results suggest that most human infections are caught from other humans rather than from livestock and that humans harbor a greater diversity of antibiotic resistance.
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Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582
Bayesian Phylogenetics with BEAUti and the BEAST 1.7
Drummond, A. J., Suchard, M. A., Xie, D., & Rambaut, A. (2012) · Molecular Biology and Evolution · doi:10.1093/molbev/mss075 · Cited by 10,063
Self-citationVelvet: Algorithms for de novo short read assembly using de Bruijn graphs
Zerbino, D. R., & Birney, E. (2008) · Genome Research · doi:10.1101/gr.074492.107 · Cited by 9,491
Escherichia coli and Salmonella :cellular and molecular biology
Neidhardt, F. C. (1996) · ASM Press eBooks · Cited by 8,197
Relaxed Phylogenetics and Dating with Confidence
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The Global Burden of Nontyphoidal Salmonella Gastroenteritis
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Bayesian Phylogeography Finds Its Roots
Lemey, P., Rambaut, A., Drummond, A. J., & Suchard, M. A. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000520 · Cited by 1,784
Self-citationInteractive Tree Of Life v2: online annotation and display of phylogenetic trees made easy
Letunic, I., & Bork, P. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr201 · Cited by 1,457
Bayesian Estimation of Ancestral Character States on Phylogenies
Pagel, M., Meade, A., & Barker, D. (2004) · Systematic Biology · doi:10.1080/10635150490522232 · Cited by 1,370
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Croucher, N. J., Page, A. J., Connor, T. R., Delaney, A. J., Keane, J. A., Bentley, S. D., Parkhill, J., & Harris, S. R. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1196 · Cited by 2,741
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Metadata
- Authors
- Mather, A. E., Reid, S. W. J., Maskell, D. J., Parkhill, J., Fookes, M. C., Harris, S. R., Brown, D. J., Coia, J. E., Mulvey, M. R., Gilmour, M. W., Petrovska, L., de Pinna, E., Kuroda, M., Akiba, M., Izumiya, H., Connor, T. R., Suchard, M. A., Lemey, P., Mellor, D. J., Haydon, D. T., & Thomson, N. R.
- Venue
- Science
- Published
- 2013-09-27
- Volume
- 341
- Issue
- 6153
- Pages
- 1514-1517
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2105245948
- Cited by
- 344
- References
- 51
- FWCI
- 52.42
- Type
- journal article
- Language
- en
- Open access
- green
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- Mather, A. E., Reid, S. W. J., Maskell, D. J., Parkhill, J., Fookes, M. C., Harris, S. R., Brown, D. J., Coia, J. E., Mulvey, M. R., Gilmour, M. W., Petrovska, L., de Pinna, E., Kuroda, M., Akiba, M., Izumiya, H., Connor, T. R., Suchard, M. A., Lemey, P., Mellor, D. J., . . . Thomson, N. R. (2013). Distinguishable Epidemics of Multidrug-Resistant Salmonella Typhimurium DT104 in Different Hosts. Science. https://doi.org/10.1126/science.1240578
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