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Wheat rusts never sleep but neither do sequencers: will pathogenomics transform the way plant diseases are managed?

Overview of attention for article published in Genome Biology, March 2015
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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 (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
20 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Wheat rusts never sleep but neither do sequencers: will pathogenomics transform the way plant diseases are managed?
Published in
Genome Biology, March 2015
DOI 10.1186/s13059-015-0615-3
Pubmed ID
Authors

Lida Derevnina, Richard W Michelmore

Abstract

Field pathogenomics adds highly informative data to surveillance surveys by enabling rapid evaluation of pathogen variability, population structure and host genotype.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 4%
United States 1 2%
Sweden 1 2%
Taiwan 1 2%
Unknown 50 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 35%
Student > Ph. D. Student 7 13%
Student > Master 5 9%
Professor 4 7%
Student > Bachelor 3 5%
Other 9 16%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 67%
Biochemistry, Genetics and Molecular Biology 3 5%
Environmental Science 2 4%
Unspecified 1 2%
Computer Science 1 2%
Other 1 2%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 14 April 2015.
All research outputs
#3,019,546
of 25,373,627 outputs
Outputs from Genome Biology
#2,266
of 4,467 outputs
Outputs of similar age
#36,352
of 271,152 outputs
Outputs of similar age from Genome Biology
#47
of 68 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 271,152 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 86% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.