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A multiple genome analysis of Mycobacterium tuberculosis reveals specific novel genes and mutations associated with pyrazinamide resistance

Overview of attention for article published in BMC Genomics, October 2017
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Title
A multiple genome analysis of Mycobacterium tuberculosis reveals specific novel genes and mutations associated with pyrazinamide resistance
Published in
BMC Genomics, October 2017
DOI 10.1186/s12864-017-4146-z
Pubmed ID
Authors

Patricia Sheen, David Requena, Eduardo Gushiken, Robert H. Gilman, Ricardo Antiparra, Bryan Lucero, Pilar Lizárraga, Basilio Cieza, Elisa Roncal, Louis Grandjean, Arnab Pain, Ruth McNerney, Taane G. Clark, David Moore, Mirko Zimic

Abstract

Tuberculosis (TB) is a major global health problem and drug resistance compromises the efforts to control this disease. Pyrazinamide (PZA) is an important drug used in both first and second line treatment regimes. However, its complete mechanism of action and resistance remains unclear. We genotyped and sequenced the complete genomes of 68 M. tuberculosis strains isolated from unrelated TB patients in Peru. No clustering pattern of the strains was verified based on spoligotyping. We analyzed the association between PZA resistance with non-synonymous mutations and specific genes. We found mutations in pncA and novel genes significantly associated with PZA resistance in strains without pncA mutations. These included genes related to transportation of metal ions, pH regulation and immune system evasion. These results suggest potential alternate mechanisms of PZA resistance that have not been found in other populations, supporting that the antibacterial activity of PZA may hit multiple targets.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 20%
Researcher 22 16%
Student > Master 18 13%
Student > Ph. D. Student 14 10%
Professor 7 5%
Other 17 13%
Unknown 29 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 31%
Agricultural and Biological Sciences 21 16%
Medicine and Dentistry 13 10%
Immunology and Microbiology 12 9%
Arts and Humanities 3 2%
Other 8 6%
Unknown 36 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 15 June 2020.
All research outputs
#15,174,308
of 23,339,727 outputs
Outputs from BMC Genomics
#6,237
of 10,744 outputs
Outputs of similar age
#193,050
of 325,529 outputs
Outputs of similar age from BMC Genomics
#114
of 204 outputs
Altmetric has tracked 23,339,727 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 10,744 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 325,529 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 204 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.