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Molecular markers for tolerance of European ash (Fraxinus excelsior) to dieback disease identified using Associative Transcriptomics

Overview of attention for article published in Scientific Reports, January 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
28 X users
facebook
2 Facebook pages
googleplus
4 Google+ users

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
178 Mendeley
citeulike
3 CiteULike
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Title
Molecular markers for tolerance of European ash (Fraxinus excelsior) to dieback disease identified using Associative Transcriptomics
Published in
Scientific Reports, January 2016
DOI 10.1038/srep19335
Pubmed ID
Authors

Andrea L. Harper, Lea Vig McKinney, Lene Rostgaard Nielsen, Lenka Havlickova, Yi Li, Martin Trick, Fiona Fraser, Lihong Wang, Alison Fellgett, Elizabeth S. A. Sollars, Sophie H. Janacek, J. Allan Downie, Richard. J. A. Buggs, Erik Dahl Kjær, Ian Bancroft

Abstract

Tree disease epidemics are a global problem, impacting food security, biodiversity and national economies. The potential for conservation and breeding in trees is hampered by complex genomes and long lifecycles, with most species lacking genomic resources. The European Ash tree Fraxinus excelsior is being devastated by the fungal pathogen Hymenoscyphus fraxineus, which causes ash dieback disease. Taking this system as an example and utilizing Associative Transcriptomics for the first time in a plant pathology study, we discovered gene sequence and gene expression variants across a genetic diversity panel scored for disease symptoms and identified markers strongly associated with canopy damage in infected trees. Using these markers we predicted phenotypes in a test panel of unrelated trees, successfully identifying individuals with a low level of susceptibility to the disease. Co-expression analysis suggested that pre-priming of defence responses may underlie reduced susceptibility to ash dieback.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Chile 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 173 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 24%
Student > Ph. D. Student 25 14%
Student > Bachelor 25 14%
Student > Master 17 10%
Professor > Associate Professor 9 5%
Other 26 15%
Unknown 34 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 49%
Biochemistry, Genetics and Molecular Biology 23 13%
Environmental Science 16 9%
Engineering 3 2%
Social Sciences 2 1%
Other 6 3%
Unknown 41 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 05 September 2019.
All research outputs
#935,875
of 24,554,073 outputs
Outputs from Scientific Reports
#9,736
of 133,879 outputs
Outputs of similar age
#16,978
of 405,599 outputs
Outputs of similar age from Scientific Reports
#286
of 3,248 outputs
Altmetric has tracked 24,554,073 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 133,879 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done particularly well, scoring higher than 92% 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 405,599 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 95% of its contemporaries.
We're also able to compare this research output to 3,248 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 91% of its contemporaries.