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Transcriptomic analysis of the interaction between Helianthus annuus and its obligate parasite Plasmopara halstedii shows single nucleotide polymorphisms in CRN sequences

Overview of attention for article published in BMC Genomics, October 2011
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4 X users

Citations

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28 Dimensions

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72 Mendeley
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Title
Transcriptomic analysis of the interaction between Helianthus annuus and its obligate parasite Plasmopara halstedii shows single nucleotide polymorphisms in CRN sequences
Published in
BMC Genomics, October 2011
DOI 10.1186/1471-2164-12-498
Pubmed ID
Authors

Falah As-sadi, Sébastien Carrere, Quentin Gascuel, Thibaut Hourlier, David Rengel, Marie-Christine Le Paslier, Amandine Bordat, Marie-Claude Boniface, Dominique Brunel, Jérôme Gouzy, Laurence Godiard, Patrick Vincourt

Abstract

Downy mildew in sunflowers (Helianthus annuus L.) is caused by the oomycete Plasmopara halstedii (Farl.) Berlese et de Toni. Despite efforts by the international community to breed mildew-resistant varieties, downy mildew remains a major threat to the sunflower crop. Very few genomic, genetic and molecular resources are currently available to study this pathogen. Using a 454 sequencing method, expressed sequence tags (EST) during the interaction between H. annuus and P. halstedii have been generated and a search was performed for sites in putative effectors to show polymorphisms between the different races of P. halstedii.

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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 5 7%
Australia 1 1%
India 1 1%
United Kingdom 1 1%
Argentina 1 1%
Unknown 63 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 33%
Student > Doctoral Student 9 13%
Student > Ph. D. Student 7 10%
Professor > Associate Professor 6 8%
Student > Bachelor 5 7%
Other 15 21%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 71%
Biochemistry, Genetics and Molecular Biology 4 6%
Computer Science 2 3%
Engineering 2 3%
Medicine and Dentistry 2 3%
Other 3 4%
Unknown 8 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 November 2011.
All research outputs
#13,776,361
of 24,378,986 outputs
Outputs from BMC Genomics
#4,640
of 10,965 outputs
Outputs of similar age
#86,342
of 139,515 outputs
Outputs of similar age from BMC Genomics
#45
of 93 outputs
Altmetric has tracked 24,378,986 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,965 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 56% 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 139,515 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.