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Modifying plants for biofuel and biomaterial production

Overview of attention for article published in Plant Biotechnology Journal, 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 blog
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4 X users
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1 Facebook page

Citations

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81 Dimensions

Readers on

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186 Mendeley
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Title
Modifying plants for biofuel and biomaterial production
Published in
Plant Biotechnology Journal, November 2014
DOI 10.1111/pbi.12300
Pubmed ID
Authors

Agnelo Furtado, Jason S. Lupoi, Nam V. Hoang, Adam Healey, Seema Singh, Blake A. Simmons, Robert J. Henry

Abstract

The productivity of plants as biofuel or biomaterial crops is established by both the yield of plant biomass per unit area of land and the efficiency of conversion of the biomass to biofuel. Higher yielding biofuel crops with increased conversion efficiencies allow production on a smaller land footprint minimizing competition with agriculture for food production and biodiversity conservation. Plants have traditionally been domesticated for food, fibre and feed applications. However, utilization for biofuels may require the breeding of novel phenotypes, or new species entirely. Genomics approaches support genetic selection strategies to deliver significant genetic improvement of plants as sources of biomass for biofuel manufacture. Genetic modification of plants provides a further range of options for improving the composition of biomass and for plant modifications to assist the fabrication of biofuels. The relative carbohydrate and lignin content influences the deconstruction of plant cell walls to biofuels. Key options for facilitating the deconstruction leading to higher monomeric sugar release from plants include increasing cellulose content, reducing cellulose crystallinity, and/or altering the amount or composition of noncellulosic polysaccharides or lignin. Modification of chemical linkages within and between these biomass components may improve the ease of deconstruction. Expression of enzymes in the plant may provide a cost-effective option for biochemical conversion to biofuel.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Belgium 1 <1%
Brazil 1 <1%
Unknown 183 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 18%
Researcher 29 16%
Student > Bachelor 28 15%
Student > Master 26 14%
Student > Doctoral Student 9 5%
Other 22 12%
Unknown 38 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 35%
Biochemistry, Genetics and Molecular Biology 32 17%
Chemistry 8 4%
Engineering 7 4%
Environmental Science 5 3%
Other 21 11%
Unknown 48 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 20 July 2015.
All research outputs
#2,278,413
of 22,776,824 outputs
Outputs from Plant Biotechnology Journal
#343
of 2,019 outputs
Outputs of similar age
#34,032
of 361,904 outputs
Outputs of similar age from Plant Biotechnology Journal
#7
of 37 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,019 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. 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 361,904 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 90% 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 well, scoring higher than 81% of its contemporaries.