↓ Skip to main content

Advancing Crop Transformation in the Era of Genome Editing

Overview of attention for article published in Plant Cell, June 2016
Altmetric Badge

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
62 X users
patent
66 patents
facebook
12 Facebook pages
wikipedia
1 Wikipedia page
reddit
1 Redditor

Readers on

mendeley
1006 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Advancing Crop Transformation in the Era of Genome Editing
Published in
Plant Cell, June 2016
DOI 10.1105/tpc.16.00196
Pubmed ID
Authors
Abstract

Plant transformation has enabled fundamental insights into plant biology and revolutionized commercial agriculture. Unfortunately, for most crops, transformation and regeneration remain arduous even after more than thirty years of technological advances. Genome editing provides new opportunities to enhance crop productivity, but relies on genetic transformation and plant regeneration, which are bottlenecks in the process. Herein we review the state of plant transformation and point to innovations needed to enable genome editing in crops. Plant tissue culture methods need optimization and simplification for efficiency and minimize time in culture. Currently, specialized facilities exist for crop transformation. Single cell and robotic techniques should be developed for high throughput genomic screens. Utilization of plant genes involved in developmental reprogramming, wound response, and/or homologous recombination could boost recovery of transformed plants. Engineering universal Agrobacterium strains and recruitment of other microbes, such as Ensifer or Rhizobium, could facilitate delivery of DNA and proteins into plant cells. Synthetic biology should be employed for de novo design of transformation systems. Genome editing is a potential game-changer in crop genetics when plant transformation systems are optimized.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 62 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,006 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 <1%
Germany 3 <1%
Netherlands 2 <1%
Oman 1 <1%
New Zealand 1 <1%
Mexico 1 <1%
India 1 <1%
Indonesia 1 <1%
United Kingdom 1 <1%
Other 2 <1%
Unknown 989 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 158 16%
Researcher 152 15%
Student > Master 111 11%
Student > Bachelor 90 9%
Student > Doctoral Student 39 4%
Other 136 14%
Unknown 320 32%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 374 37%
Biochemistry, Genetics and Molecular Biology 190 19%
Engineering 14 1%
Chemistry 10 <1%
Social Sciences 8 <1%
Other 63 6%
Unknown 347 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 65. 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 13 October 2026.
All research outputs
#838,432
of 34,652,893 outputs
Outputs from Plant Cell
#114
of 8,102 outputs
Outputs of similar age
#11,470
of 344,771 outputs
Outputs of similar age from Plant Cell
#2
of 62 outputs
Altmetric has tracked 34,652,893 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,102 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. 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 344,771 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 96% of its contemporaries.
We're also able to compare this research output to 62 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 96% of its contemporaries.