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Use of genotyping based clustering to quantify recent tuberculosis transmission in Guadeloupe during a seven years period: analysis of risk factors and access to health care

Overview of attention for article published in BMC Infectious Diseases, August 2013
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3 X users

Citations

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106 Mendeley
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Title
Use of genotyping based clustering to quantify recent tuberculosis transmission in Guadeloupe during a seven years period: analysis of risk factors and access to health care
Published in
BMC Infectious Diseases, August 2013
DOI 10.1186/1471-2334-13-364
Pubmed ID
Authors

Séverine Ferdinand, Julie Millet, Annick Accipe, Sylvie Cassadou, Pascal Chaud, Maryse Levy, Max Théodore, Nalin Rastogi

Abstract

The present study aimed to characterize Mycobacterium tuberculosis population structure and to identify transmission chains and risk factors by prospective molecular typing in conjunction with conventional epidemiological investigations in the French overseas department of Guadeloupe.

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

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 103 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 24%
Student > Master 16 15%
Student > Bachelor 7 7%
Other 7 7%
Student > Ph. D. Student 7 7%
Other 15 14%
Unknown 29 27%
Readers by discipline Count As %
Medicine and Dentistry 27 25%
Agricultural and Biological Sciences 12 11%
Nursing and Health Professions 10 9%
Biochemistry, Genetics and Molecular Biology 7 7%
Social Sciences 7 7%
Other 11 10%
Unknown 32 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 August 2013.
All research outputs
#15,867,545
of 23,577,654 outputs
Outputs from BMC Infectious Diseases
#4,573
of 7,854 outputs
Outputs of similar age
#124,422
of 199,991 outputs
Outputs of similar age from BMC Infectious Diseases
#83
of 155 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 33rd percentile – i.e., 33% 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 199,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.