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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome sequencing defines phylogeny and spread of methicillin-resistant Staphylococcus aureus in a high transmission setting
|
|---|---|
| Published in |
Genome Research, December 2014
|
| DOI | 10.1101/gr.174730.114 |
| Pubmed ID | |
| Authors |
Steven Y.C. Tong, Matthew T.G. Holden, Emma K. Nickerson, Ben S. Cooper, Claudio U. Köser, Anne Cori, Thibaut Jombart, Simon Cauchemez, Christophe Fraser, Vanaporn Wuthiekanun, Janjira Thaipadungpanit, Maliwan Hongsuwan, Nicholas P. Day, Direk Limmathurotsakul, Julian Parkhill, Sharon J. Peacock |
| Abstract |
Methicillin-resistant Staphylococcus aureus (MRSA) is a major cause of nosocomial infection. Whole-genome sequencing of MRSA has been used to define phylogeny and transmission in well-resourced healthcare settings, yet the greatest burden of nosocomial infection occurs in resource-restricted settings where barriers to transmission are lower. Here, we study the flux and genetic diversity of MRSA on ward and individual patient levels in a hospital where transmission was common. We repeatedly screened all patients on two intensive care units for MRSA carriage over a 3-mo period. All MRSA belonged to multilocus sequence type 239 (ST 239). We defined the population structure and charted the spread of MRSA by sequencing 79 isolates from 46 patients and five members of staff, including the first MRSA-positive screen isolates and up to two repeat isolates where available. Phylogenetic analysis identified a flux of distinct ST 239 clades over time in each intensive care unit. In total, five main clades were identified, which varied in the carriage of plasmids encoding antiseptic and antimicrobial resistance determinants. Sequence data confirmed intra- and interwards transmission events and identified individual patients who were colonized by more than one clade. One patient on each unit was the source of numerous transmission events, and deep sampling of one of these cases demonstrated colonization with a "cloud" of related MRSA variants. The application of whole-genome sequencing and analysis provides novel insights into the transmission of MRSA in under-resourced healthcare settings and has relevance to wider global health. |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 23% |
| United Kingdom | 6 | 19% |
| India | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Thailand | 1 | 3% |
| Australia | 1 | 3% |
| Spain | 1 | 3% |
| Unknown | 13 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 45% |
| Scientists | 10 | 32% |
| Practitioners (doctors, other healthcare professionals) | 5 | 16% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Netherlands | 2 | 1% |
| United Kingdom | 2 | 1% |
| Ireland | 1 | <1% |
| Ghana | 1 | <1% |
| Malaysia | 1 | <1% |
| Australia | 1 | <1% |
| Denmark | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 179 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 22% |
| Student > Ph. D. Student | 40 | 21% |
| Student > Master | 23 | 12% |
| Student > Bachelor | 14 | 7% |
| Student > Doctoral Student | 9 | 5% |
| Other | 39 | 20% |
| Unknown | 27 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 26% |
| Biochemistry, Genetics and Molecular Biology | 39 | 20% |
| Medicine and Dentistry | 33 | 17% |
| Immunology and Microbiology | 13 | 7% |
| Computer Science | 4 | 2% |
| Other | 16 | 8% |
| Unknown | 38 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 119. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 October 2019.
All research outputs
#334,284
of 24,616,908 outputs
Outputs from Genome Research
#66
of 4,369 outputs
Outputs of similar age
#3,972
of 371,500 outputs
Outputs of similar age from Genome Research
#2
of 29 outputs
Altmetric has tracked 24,616,908 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,369 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 371,500 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.