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Nosocomial transmission of Clostridium difficile ribotype 027 in a Chinese hospital, 2012–2014, traced by whole genome sequencing

Overview of attention for article published in BMC Genomics, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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4 X users
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1 patent
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1 Facebook page

Citations

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36 Dimensions

Readers on

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53 Mendeley
Title
Nosocomial transmission of Clostridium difficile ribotype 027 in a Chinese hospital, 2012–2014, traced by whole genome sequencing
Published in
BMC Genomics, May 2016
DOI 10.1186/s12864-016-2708-0
Pubmed ID
Authors

Hongbing Jia, Pengcheng Du, Hui Yang, Yuanyuan Zhang, Jing Wang, Wen Zhang, Guiling Han, Na Han, Zhiyuan Yao, Haiyin Wang, Jing Zhang, Zhen Wang, Qingming Ding, Yujun Qiang, Frédéric Barbut, George F. Gao, Yongtong Cao, Ying Cheng, Chen Chen

Abstract

The rapid spread of Clostridium difficile NAP1/BI/027 (C. difficile 027) has become one of the leading threats of healthcare-associated infections worldwide. However, C. difficile 027 infections have been rarely reported in Asia, particularly in China. In this study, we identified a rare C. difficile bloodstream infection (BSI) from three isolates of a patient during repeated hospital admission. This finding triggered a retrospective epidemiological study to scan all cases and strains emerged from this ward during the past three years. Using medical personnel interviews, medical record reviews and the genomic epidemiology, two outbreaks in 2012 and 2013-2014 were identified. Through using whole genome sequencing, we succeeded to trace the origin of the BSI strain. Surprisingly, we found the genome sequences were similar to C. difficile 027 strain R20291, indicating the occurrence of a rare C. difficile 027 strain in China. Integrated epidemiological investigation and whole genome sequencing of all strains, we constructed a nosocomial transmission map of these two C. difficile 027 outbreaks and traced the origin of the infection. By genome sequencing, spatio-temporal analysis and field epidemiology investigation, we can estimate their complex transform network and reveal the possible modes of transmission in this ward. Based on their genetic diversity, we can assume that the toilets, bathroom, and janitor's equipment room may be contaminated area, which may be suggested to improve infection control measures in the following health care.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Ph. D. Student 8 15%
Student > Master 6 11%
Student > Bachelor 5 9%
Professor > Associate Professor 3 6%
Other 11 21%
Unknown 10 19%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Immunology and Microbiology 7 13%
Agricultural and Biological Sciences 5 9%
Biochemistry, Genetics and Molecular Biology 4 8%
Veterinary Science and Veterinary Medicine 2 4%
Other 8 15%
Unknown 14 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 December 2020.
All research outputs
#5,669,802
of 22,880,691 outputs
Outputs from BMC Genomics
#2,333
of 10,666 outputs
Outputs of similar age
#90,305
of 337,049 outputs
Outputs of similar age from BMC Genomics
#44
of 197 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,666 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 337,049 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.