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Culture-independent discovery of natural products from soil metagenomes

Overview of attention for article published in Journal of Industrial Microbiology & Biotechnology, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 1,643)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
9 X users
patent
1 patent

Citations

dimensions_citation
115 Dimensions

Readers on

mendeley
299 Mendeley
Title
Culture-independent discovery of natural products from soil metagenomes
Published in
Journal of Industrial Microbiology & Biotechnology, March 2016
DOI 10.1007/s10295-015-1706-6
Pubmed ID
Authors

Micah Katz, Bradley M Hover, Sean F Brady

Abstract

Bacterial natural products have proven to be invaluable starting points in the development of many currently used therapeutic agents. Unfortunately, traditional culture-based methods for natural product discovery have been deemphasized by pharmaceutical companies due in large part to high rediscovery rates. Culture-independent, or "metagenomic," methods, which rely on the heterologous expression of DNA extracted directly from environmental samples (eDNA), have the potential to provide access to metabolites encoded by a large fraction of the earth's microbial biosynthetic diversity. As soil is both ubiquitous and rich in bacterial diversity, it is an appealing starting point for culture-independent natural product discovery efforts. This review provides an overview of the history of soil metagenome-driven natural product discovery studies and elaborates on the recent development of new tools for sequence-based, high-throughput profiling of environmental samples used in discovering novel natural product biosynthetic gene clusters. We conclude with several examples of these new tools being employed to facilitate the recovery of novel secondary metabolite encoding gene clusters from soil metagenomes and the subsequent heterologous expression of these clusters to produce bioactive small molecules.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 1%
Germany 2 <1%
Denmark 2 <1%
Uruguay 1 <1%
India 1 <1%
United States 1 <1%
Unknown 289 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 19%
Student > Ph. D. Student 52 17%
Student > Master 40 13%
Student > Bachelor 38 13%
Student > Doctoral Student 20 7%
Other 33 11%
Unknown 60 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 29%
Biochemistry, Genetics and Molecular Biology 81 27%
Chemistry 17 6%
Immunology and Microbiology 11 4%
Pharmacology, Toxicology and Pharmaceutical Science 9 3%
Other 24 8%
Unknown 70 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 07 September 2023.
All research outputs
#2,115,331
of 25,998,826 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#27
of 1,643 outputs
Outputs of similar age
#32,994
of 316,261 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#2
of 27 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,643 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 98% 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 316,261 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 27 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.