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A new antibiotic kills pathogens without detectable resistance

Overview of attention for article published in Nature, January 2015
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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1060 Dimensions

Readers on

mendeley
4315 Mendeley
citeulike
17 CiteULike
Title
A new antibiotic kills pathogens without detectable resistance
Published in
Nature, January 2015
DOI 10.1038/nature14098
Pubmed ID
Authors

Losee L. Ling, Tanja Schneider, Aaron J. Peoples, Amy L. Spoering, Ina Engels, Brian P. Conlon, Anna Mueller, Till F. Schäberle, Dallas E. Hughes, Slava Epstein, Michael Jones, Linos Lazarides, Victoria A. Steadman, Douglas R. Cohen, Cintia R. Felix, K. Ashley Fetterman, William P. Millett, Anthony G. Nitti, Ashley M. Zullo, Chao Chen, Kim Lewis

Abstract

Antibiotic resistance is spreading faster than the introduction of new compounds into clinical practice, causing a public health crisis. Most antibiotics were produced by screening soil microorganisms, but this limited resource of cultivable bacteria was overmined by the 1960s. Synthetic approaches to produce antibiotics have been unable to replace this platform. Uncultured bacteria make up approximately 99% of all species in external environments, and are an untapped source of new antibiotics. We developed several methods to grow uncultured organisms by cultivation in situ or by using specific growth factors. Here we report a new antibiotic that we term teixobactin, discovered in a screen of uncultured bacteria. Teixobactin inhibits cell wall synthesis by binding to a highly conserved motif of lipid II (precursor of peptidoglycan) and lipid III (precursor of cell wall teichoic acid). We did not obtain any mutants of Staphylococcus aureus or Mycobacterium tuberculosis resistant to teixobactin. The properties of this compound suggest a path towards developing antibiotics that are likely to avoid development of resistance.

Twitter Demographics

The data shown below were collected from the profiles of 2,110 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4,315 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 82 2%
United Kingdom 37 <1%
Germany 30 <1%
Denmark 12 <1%
India 11 <1%
Spain 11 <1%
France 11 <1%
Brazil 11 <1%
Switzerland 9 <1%
Other 71 2%
Unknown 4030 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1078 25%
Student > Bachelor 765 18%
Researcher 719 17%
Student > Master 628 15%
Student > Doctoral Student 214 5%
Other 650 15%
Unknown 261 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 1680 39%
Biochemistry, Genetics and Molecular Biology 673 16%
Chemistry 485 11%
Medicine and Dentistry 314 7%
Immunology and Microbiology 231 5%
Other 539 12%
Unknown 393 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 2763. 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 20 November 2019.
All research outputs
#523
of 14,595,309 outputs
Outputs from Nature
#91
of 72,797 outputs
Outputs of similar age
#11
of 297,208 outputs
Outputs of similar age from Nature
#3
of 871 outputs
Altmetric has tracked 14,595,309 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 72,797 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 81.4. This one has done particularly well, scoring higher than 99% 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 297,208 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 99% of its contemporaries.
We're also able to compare this research output to 871 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 99% of its contemporaries.