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Sansanmycin natural product analogues as potent and selective anti-mycobacterials that inhibit lipid I biosynthesis

Overview of attention for article published in Nature Communications, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
24 news outlets
twitter
59 X users
facebook
2 Facebook pages

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
91 Mendeley
citeulike
1 CiteULike
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Title
Sansanmycin natural product analogues as potent and selective anti-mycobacterials that inhibit lipid I biosynthesis
Published in
Nature Communications, March 2017
DOI 10.1038/ncomms14414
Pubmed ID
Authors

Anh T. Tran, Emma E. Watson, Venugopal Pujari, Trent Conroy, Luke J. Dowman, Andrew M. Giltrap, Angel Pang, Weng Ruh Wong, Roger G. Linington, Sebabrata Mahapatra, Jessica Saunders, Susan A. Charman, Nicholas P. West, Timothy D. H. Bugg, Julie Tod, Christopher G. Dowson, David I. Roper, Dean C. Crick, Warwick J. Britton, Richard J. Payne

Abstract

Tuberculosis (TB) is responsible for enormous global morbidity and mortality, and current treatment regimens rely on the use of drugs that have been in use for more than 40 years. Owing to widespread resistance to these therapies, new drugs are desperately needed to control the TB disease burden. Herein, we describe the rapid synthesis of analogues of the sansanmycin uridylpeptide natural products that represent promising new TB drug leads. The compounds exhibit potent and selective inhibition of Mycobacterium tuberculosis, the etiological agent of TB, both in vitro and intracellularly. The natural product analogues are nanomolar inhibitors of Mtb phospho-MurNAc-pentapeptide translocase, the enzyme responsible for the synthesis of lipid I in mycobacteria. This work lays the foundation for the development of uridylpeptide natural product analogues as new TB drug candidates that operate through the inhibition of peptidoglycan biosynthesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 59 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
United States 1 1%
Unknown 89 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Student > Bachelor 13 14%
Student > Master 12 13%
Researcher 10 11%
Professor > Associate Professor 5 5%
Other 16 18%
Unknown 20 22%
Readers by discipline Count As %
Chemistry 23 25%
Biochemistry, Genetics and Molecular Biology 16 18%
Agricultural and Biological Sciences 14 15%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Immunology and Microbiology 5 5%
Other 7 8%
Unknown 21 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 214. 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 22 November 2019.
All research outputs
#184,870
of 25,728,350 outputs
Outputs from Nature Communications
#2,618
of 58,235 outputs
Outputs of similar age
#3,969
of 325,369 outputs
Outputs of similar age from Nature Communications
#73
of 913 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,235 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has done particularly well, scoring higher than 95% 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 325,369 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 913 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.