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A silver bullet in a golden age of functional genomics: the impact of Agrobacterium-mediated transformation of fungi

Overview of attention for article published in Fungal Biology and Biotechnology, September 2017
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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 (#16 of 165)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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21 X users
wikipedia
1 Wikipedia page

Citations

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67 Dimensions

Readers on

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122 Mendeley
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Title
A silver bullet in a golden age of functional genomics: the impact of Agrobacterium-mediated transformation of fungi
Published in
Fungal Biology and Biotechnology, September 2017
DOI 10.1186/s40694-017-0035-0
Pubmed ID
Authors

Alexander Idnurm, Andy M. Bailey, Timothy C. Cairns, Candace E. Elliott, Gary D. Foster, Giuseppe Ianiri, Junhyun Jeon

Abstract

The implementation of Agrobacterium tumefaciens as a transformation tool revolutionized approaches to discover and understand gene functions in a large number of fungal species. A. tumefaciens mediated transformation (AtMT) is one of the most transformative technologies for research on fungi developed in the last 20 years, a development arguably only surpassed by the impact of genomics. AtMT has been widely applied in forward genetics, whereby generation of strain libraries using random T-DNA insertional mutagenesis, combined with phenotypic screening, has enabled the genetic basis of many processes to be elucidated. Alternatively, AtMT has been fundamental for reverse genetics, where mutant isolates are generated with targeted gene deletions or disruptions, enabling gene functional roles to be determined. When combined with concomitant advances in genomics, both forward and reverse approaches using AtMT have enabled complex fungal phenotypes to be dissected at the molecular and genetic level. Additionally, in several cases AtMT has paved the way for the development of new species to act as models for specific areas of fungal biology, particularly in plant pathogenic ascomycetes and in a number of basidiomycete species. Despite its impact, the implementation of AtMT has been uneven in the fungi. This review provides insight into the dynamics of expansion of new research tools into a large research community and across multiple organisms. As such, AtMT in the fungi, beyond the demonstrated and continuing power for gene discovery and as a facile transformation tool, provides a model to understand how other technologies that are just being pioneered, e.g. CRISPR/Cas, may play roles in fungi and other eukaryotic species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 19%
Student > Bachelor 16 13%
Student > Master 14 11%
Researcher 13 11%
Student > Doctoral Student 7 6%
Other 16 13%
Unknown 33 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 29%
Biochemistry, Genetics and Molecular Biology 31 25%
Engineering 4 3%
Chemical Engineering 3 2%
Immunology and Microbiology 3 2%
Other 6 5%
Unknown 40 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 19 March 2024.
All research outputs
#2,262,392
of 25,517,918 outputs
Outputs from Fungal Biology and Biotechnology
#16
of 165 outputs
Outputs of similar age
#42,276
of 328,918 outputs
Outputs of similar age from Fungal Biology and Biotechnology
#2
of 6 outputs
Altmetric has tracked 25,517,918 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 165 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 90% 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 328,918 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 87% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.