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Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems

Overview of attention for article published in Frontiers in Plant Science, May 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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8 X users

Readers on

mendeley
63 Mendeley
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1 CiteULike
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Title
Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
Published in
Frontiers in Plant Science, May 2015
DOI 10.3389/fpls.2015.00305
Pubmed ID
Authors

Gerbert S. Dossa, Adam Sparks, Casiana Vera Cruz, Ricardo Oliva

Abstract

Attempting to achieve long-lasting and stable resistance using uniformly deployed rice varieties is not a sustainable approach. The real situation appears to be much more complex and dynamic, one in which pathogens quickly adapt to resistant varieties. To prevent disease epidemics, deployment should be customized and this decision will require interdisciplinary actions. This perspective article aims to highlight the current progress on disease resistance deployment to control bacterial blight in rice. Although the model system rice-Xanthomonas oryzae pv. oryzae has distinctive features that underpin the need for a case-by-case analysis, strategies to integrate those elements into a unique decision tool could be easily extended to other crops.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
Thailand 1 2%
Unknown 60 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Researcher 14 22%
Student > Master 9 14%
Student > Bachelor 6 10%
Student > Doctoral Student 4 6%
Other 8 13%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 67%
Chemical Engineering 1 2%
Environmental Science 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 3 5%
Unknown 14 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 May 2015.
All research outputs
#6,145,091
of 22,799,071 outputs
Outputs from Frontiers in Plant Science
#3,321
of 20,080 outputs
Outputs of similar age
#72,479
of 264,538 outputs
Outputs of similar age from Frontiers in Plant Science
#31
of 273 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 20,080 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 83% 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 264,538 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 72% of its contemporaries.
We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.