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Use of Whole-Genome Sequencing to LinkBurkholderia pseudomalleifrom Air Sampling to Mediastinal Melioidosis, Australia

Overview of attention for article published in Emerging Infectious Diseases, November 2015
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3 X users

Citations

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42 Dimensions

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26 Mendeley
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Title
Use of Whole-Genome Sequencing to LinkBurkholderia pseudomalleifrom Air Sampling to Mediastinal Melioidosis, Australia
Published in
Emerging Infectious Diseases, November 2015
DOI 10.3201/eid2111.141802
Pubmed ID
Authors

Bart J. Currie, Erin P. Price, Mark Mayo, Mirjam Kaestli, Vanessa Theobald, Ian Harrington, Glenda Harrington, Derek S. Sarovich

Abstract

The frequency with which melioidosis results from inhalation rather than percutaneous inoculation or ingestion is unknown. We recovered Burkholderia pseudomallei from air samples at the residence of a patient with presumptive inhalational melioidosis and used whole-genome sequencing to link the environmental bacteria to B. pseudomallei recovered from the patient.

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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Master 4 15%
Student > Bachelor 3 12%
Student > Doctoral Student 1 4%
Other 1 4%
Other 3 12%
Unknown 10 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 19%
Medicine and Dentistry 2 8%
Immunology and Microbiology 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Agricultural and Biological Sciences 1 4%
Other 2 8%
Unknown 13 50%
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 25 October 2015.
All research outputs
#16,114,536
of 24,520,187 outputs
Outputs from Emerging Infectious Diseases
#7,866
of 9,507 outputs
Outputs of similar age
#162,944
of 290,008 outputs
Outputs of similar age from Emerging Infectious Diseases
#102
of 125 outputs
Altmetric has tracked 24,520,187 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.4. This one is in the 15th percentile – i.e., 15% 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 290,008 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.