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MmpL3 as a Target for the Treatment of Drug-Resistant Nontuberculous Mycobacterial Infections

Overview of attention for article published in Frontiers in Microbiology, July 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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3 X users
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1 patent

Readers on

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90 Mendeley
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Article details
Title
MmpL3 as a Target for the Treatment of Drug-Resistant Nontuberculous Mycobacterial Infections
Published in
Frontiers in Microbiology, July 2018
DOI 10.3389/fmicb.2018.01547
Pubmed ID
Authors
Abstract

Nontuberculous mycobacterial (NTM) pulmonary infections are emerging as a global health problem and pose a threat to susceptible individuals with structural or functional lung conditions such as cystic fibrosis, chronic obstructive pulmonary disease and bronchiectasis. Mycobacterium avium complex (MAC) and Mycobacterium abscessus complex (MABSC) species account for 70-95% of the pulmonary NTM infections worldwide. Treatment options for these pathogens are limited, involve lengthy multidrug regimens of 12-18 months with parenteral and oral drugs, and their outcome is often suboptimal. Development of new drugs and improved regimens to treat NTM infections are thus greatly needed. In the last 2 years, the screening of compound libraries against M. abscessus in culture has led to the discovery of a number of different chemotypes that target MmpL3, an essential inner membrane transporter involved in the export of the building blocks of the outer membrane of all mycobacteria known as the mycolic acids. This perspective reflects on the therapeutic potential of MmpL3 in Mycobacterium tuberculosis and NTM and the possible reasons underlying the outstanding promiscuity of this target. It further analyzes the physiological and structural factors that may account for the apparent looser structure-activity relationship of some of these compound series against M. tuberculosis compared to NTM.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 12%
Researcher 10 11%
Student > Master 8 9%
Student > Bachelor 7 8%
Other 4 4%
Other 14 16%
Unknown 36 40%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 17%
Medicine and Dentistry 7 8%
Chemistry 6 7%
Agricultural and Biological Sciences 4 4%
Immunology and Microbiology 4 4%
Other 15 17%
Unknown 39 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 March 2023.
All research outputs
#9,459,985
of 31,393,817 outputs
Outputs from Frontiers in Microbiology
#8,294
of 34,117 outputs
Outputs of similar age
#124,377
of 354,455 outputs
Outputs of similar age from Frontiers in Microbiology
#280
of 751 outputs
Altmetric has tracked 31,393,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 34,117 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 354,455 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 751 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 60% of its contemporaries.