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Engineering Natural Product Biosynthesis

Overview of attention for book
Attention for Chapter 8: Evolutionary Genome Mining for the Discovery and Engineering of Natural Product Biosynthesis
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
9 Mendeley
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Chapter title
Evolutionary Genome Mining for the Discovery and Engineering of Natural Product Biosynthesis
Chapter number 8
Book title
Engineering Natural Product Biosynthesis
Published in
Methods in molecular biology, May 2022
DOI 10.1007/978-1-0716-2273-5_8
Pubmed ID
Book ISBNs
978-1-07-162272-8, 978-1-07-162273-5
Authors

Chevrette, Marc G., Selem-Mojica, Nelly, Aguilar, César, Labby, Kristin, Bustos-Diaz, Edder D., Handelsman, Jo, Barona-Gómez, Francisco, Marc G. Chevrette, Nelly Selem-Mojica, César Aguilar, Kristin Labby, Edder D. Bustos-Diaz, Jo Handelsman, Francisco Barona-Gómez

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Other 1 11%
Student > Bachelor 1 11%
Student > Doctoral Student 1 11%
Student > Ph. D. Student 1 11%
Other 1 11%
Unknown 2 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Chemistry 2 22%
Agricultural and Biological Sciences 1 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Unknown 3 33%
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 15 April 2024.
All research outputs
#8,401,027
of 25,714,183 outputs
Outputs from Methods in molecular biology
#2,574
of 14,331 outputs
Outputs of similar age
#159,410
of 447,125 outputs
Outputs of similar age from Methods in molecular biology
#59
of 429 outputs
Altmetric has tracked 25,714,183 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 14,331 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 81% 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 447,125 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 429 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.