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Gene expression profiling by cDNA-AFLP reveals potential candidate genes for partial resistance of ‘Président Roulin’ against Venturia inaequalis

Overview of attention for article published in BMC Genomics, November 2014
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Title
Gene expression profiling by cDNA-AFLP reveals potential candidate genes for partial resistance of ‘Président Roulin’ against Venturia inaequalis
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-1043
Pubmed ID
Authors

Héloïse Bastiaanse, Yordan Muhovski, Olivier Parisi, Roberta Paris, Dominique Mingeot, Marc Lateur

Abstract

Scab, caused by the fungus Venturia inaequalis, is one of the most important diseases of cultivated apple. While a few scab resistance genes (R genes) governing qualitative resistance have been isolated and characterized, the biological roles of genes governing quantitative resistance, supposed to be more durable, are still unknown. This study aims to investigate the molecular mechanisms involved in the partial resistance of the old Belgian apple cultivar 'Président Roulin' against V. inaequalis.

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The data shown below were collected from the profile of 1 X user 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 33%
Student > Ph. D. Student 9 23%
Student > Master 5 13%
Student > Bachelor 4 10%
Student > Postgraduate 2 5%
Other 1 3%
Unknown 6 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 63%
Biochemistry, Genetics and Molecular Biology 6 15%
Environmental Science 2 5%
Nursing and Health Professions 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 December 2014.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#274,706
of 369,656 outputs
Outputs of similar age from BMC Genomics
#245
of 321 outputs
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So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 321 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.