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Genome mining for ribosomally synthesized and post-translationally modified peptides (RiPPs) in anaerobic bacteria

Overview of attention for article published in BMC Genomics, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
157 Mendeley
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Title
Genome mining for ribosomally synthesized and post-translationally modified peptides (RiPPs) in anaerobic bacteria
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-983
Pubmed ID
Authors

Anne-Catrin Letzel, Sacha J Pidot, Christian Hertweck

Abstract

Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a diverse group of biologically active bacterial molecules. Due to the conserved genomic arrangement of many of the genes involved in their synthesis, these secondary metabolite biosynthetic pathways can be predicted from genome sequence data. To date, however, despite the myriad of sequenced genomes covering many branches of the bacterial phylogenetic tree, such an analysis for a broader group of bacteria like anaerobes has not been attempted.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
India 1 <1%
Brazil 1 <1%
Mexico 1 <1%
Germany 1 <1%
Unknown 151 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 27%
Student > Master 30 19%
Researcher 25 16%
Student > Bachelor 11 7%
Student > Doctoral Student 10 6%
Other 20 13%
Unknown 19 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 53 34%
Agricultural and Biological Sciences 49 31%
Chemistry 16 10%
Immunology and Microbiology 4 3%
Chemical Engineering 4 3%
Other 9 6%
Unknown 22 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 January 2021.
All research outputs
#3,578,464
of 18,422,743 outputs
Outputs from BMC Genomics
#1,641
of 9,583 outputs
Outputs of similar age
#60,700
of 321,591 outputs
Outputs of similar age from BMC Genomics
#35
of 193 outputs
Altmetric has tracked 18,422,743 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,583 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 82% 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 321,591 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 80% of its contemporaries.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.