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The re‐emergence of tuberculosis: what have we learnt from molecular epidemiology?

Overview of attention for article published in Clinical Microbiology and Infection, June 2013
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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3 X users

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257 Mendeley
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Title
The re‐emergence of tuberculosis: what have we learnt from molecular epidemiology?
Published in
Clinical Microbiology and Infection, June 2013
DOI 10.1111/1469-0691.12253
Pubmed ID
Authors

M. W. Borgdorff, D. van Soolingen

Abstract

Tuberculosis (TB) has re-emerged over the past two decades: in industrialized countries in association with immigration, and in Africa owing to the human immunodeficiency virus epidemic. Drug-resistant TB is a major threat worldwide. The variable and uncertain impact of TB control necessitates not only better tools (diagnostics, drugs, and vaccines), but also better insights into the natural history and epidemiology of TB. Molecular epidemiological studies over the last two decades have contributed to such insights by answering long-standing questions, such as the proportion of cases attributable to recent transmission, risk factors for recent transmission, the occurrence of multiple Mycobacterium tuberculosis infection, and the proportion of recurrent TB cases attributable to re-infection. M. tuberculosis lineages have been identified and shown to be associated with geographical origin. The Beijing genotype is strongly associated with multidrug resistance, and may have escaped from bacille Calmette-Guérin-induced immunity. DNA fingerprinting has quantified the importance of institutional transmission and laboratory cross-contamination, and has helped to focus contact investigations. Questions to be answered in the near future with whole genome sequencing include identification of chains of transmission within clusters of patients, more precise quantification of mixed infection, and transmission probabilities and rates of progression from infection to disease of various M. tuberculosis lineages, as well as possible variations in vaccine efficacy by lineage. Perhaps most importantly, dynamics in the population structure of M. tuberculosis in response to control measures in high-prevalence areas should be better understood.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Unknown 253 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 49 19%
Researcher 34 13%
Student > Ph. D. Student 33 13%
Student > Bachelor 32 12%
Student > Postgraduate 17 7%
Other 41 16%
Unknown 51 20%
Readers by discipline Count As %
Medicine and Dentistry 61 24%
Agricultural and Biological Sciences 39 15%
Biochemistry, Genetics and Molecular Biology 30 12%
Immunology and Microbiology 17 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Other 34 13%
Unknown 69 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2014.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from Clinical Microbiology and Infection
#3,339
of 4,641 outputs
Outputs of similar age
#122,109
of 209,902 outputs
Outputs of similar age from Clinical Microbiology and Infection
#11
of 30 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,641 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 209,902 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.