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The use of microbead-based spoligotyping for Mycobacterium tuberculosis complex to evaluate the quality of the conventional method: Providing guidelines for Quality Assurance when working on membranes

Overview of attention for article published in BMC Infectious Diseases, April 2011
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Title
The use of microbead-based spoligotyping for Mycobacterium tuberculosis complex to evaluate the quality of the conventional method: Providing guidelines for Quality Assurance when working on membranes
Published in
BMC Infectious Diseases, April 2011
DOI 10.1186/1471-2334-11-110
Pubmed ID
Authors

Edgar Abadia, Jian Zhang, Viviana Ritacco, Kristin Kremer, Raymond Ruimy, Leen Rigouts, Harrison Magdinier Gomes, Atiná Ribeiro Elias, Maryse Fauville-Dufaux, Karolien Stoffels, Voahangy Rasolofo-Razanamparany, Darío Garcia de Viedma, Marta Herranz, Sahal Al-Hajoj, Nalin Rastogi, Carlo Garzelli, Enrico Tortoli, Philip N Suffys, Dick van Soolingen, Guislaine Refrégier, Christophe Sola

Abstract

The classical spoligotyping technique, relying on membrane reverse line-blot hybridization of the spacers of the Mycobacterium tuberculosis CRISPR locus, is used world-wide (598 references in Pubmed on April 8th, 2011). However, until now no inter-laboratory quality control study had been undertaken to validate this technique. We analyzed the quality of membrane-based spoligotyping by comparing it to the recently introduced and highly robust microbead-based spoligotyping. Nine hundred and twenty-seven isolates were analyzed totaling 39,861 data points. Samples were received from 11 international laboratories with a worldwide distribution.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Zimbabwe 1 1%
Zambia 1 1%
Brazil 1 1%
United Kingdom 1 1%
United States 1 1%
Unknown 74 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Ph. D. Student 9 11%
Student > Master 8 10%
Professor > Associate Professor 7 9%
Student > Doctoral Student 5 6%
Other 16 20%
Unknown 17 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 24%
Medicine and Dentistry 14 18%
Biochemistry, Genetics and Molecular Biology 12 15%
Immunology and Microbiology 10 13%
Social Sciences 3 4%
Other 1 1%
Unknown 21 26%
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 04 May 2011.
All research outputs
#20,143,522
of 22,649,029 outputs
Outputs from BMC Infectious Diseases
#6,410
of 7,626 outputs
Outputs of similar age
#102,752
of 109,899 outputs
Outputs of similar age from BMC Infectious Diseases
#48
of 50 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,626 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.