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Progress of CRISPR‐Cas Based Genome Editing in Photosynthetic Microbes

Overview of attention for article published in Biotechnology Journal, February 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 1,864)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
3 news outlets
twitter
7 X users
patent
1 patent

Readers on

mendeley
186 Mendeley
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Article details
Title
Progress of CRISPR‐Cas Based Genome Editing in Photosynthetic Microbes
Published in
Biotechnology Journal, February 2018
DOI 10.1002/biot.201700591
Pubmed ID
Authors
Abstract

The carbon footprint caused by unsustainable development and its environmental and economic impact has become a major concern in the past few decades. Photosynthetic microbes such as microalgae and cyanobacteria are capable of accumulating value-added compounds from carbon dioxide, and have been regarded as environmentally friendly alternatives to reduce the usage of fossil fuels, thereby contributing to reducing the carbon footprint. This light-driven generation of green chemicals and biofuels has triggered the research for metabolic engineering of these photosynthetic microbes. CRISPR-Cas systems are successfully implemented across a wide range of prokaryotic and eukaryotic species for efficient genome editing. However, the inception of this genome editing tool in microalgal and cyanobacterial species took off rather slowly due to various complications. In this review, we elaborate on the established CRISPR-Cas based genome editing in various microalgal and cyanobacterial species. The complications associated with CRISPR-Cas based genome editing in these species are addressed along with possible strategies to overcome these issues. It is anticipated that in the near future this will result in improving and expanding the microalgal and cyanobacterial genome engineering toolbox.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 186 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 38 20%
Researcher 24 13%
Student > Master 20 11%
Student > Bachelor 19 10%
Student > Doctoral Student 11 6%
Other 19 10%
Unknown 55 30%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 60 32%
Agricultural and Biological Sciences 40 22%
Medicine and Dentistry 6 3%
Immunology and Microbiology 5 3%
Engineering 5 3%
Other 11 6%
Unknown 59 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 17 December 2024.
All research outputs
#1,334,304
of 27,492,925 outputs
Outputs from Biotechnology Journal
#25
of 1,864 outputs
Outputs of similar age
#27,181
of 348,167 outputs
Outputs of similar age from Biotechnology Journal
#2
of 37 outputs
Altmetric has tracked 27,492,925 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,864 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. 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 348,167 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 92% of its contemporaries.
We're also able to compare this research output to 37 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 94% of its contemporaries.