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Mass-spectrometry data for Rhizoctonia solani proteins produced during infection of wheat and vegetative growth

Overview of attention for article published in Data in Brief, May 2016
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Title
Mass-spectrometry data for Rhizoctonia solani proteins produced during infection of wheat and vegetative growth
Published in
Data in Brief, May 2016
DOI 10.1016/j.dib.2016.05.042
Pubmed ID
Authors

Jonathan P. Anderson, James K. Hane, Thomas Stoll, Nicholas Pain, Marcus L. Hastie, Parwinder Kaur, Christine Hoogland, Jeffrey J. Gorman, Karam B. Singh

Abstract

Rhizoctonia solani is an important root infecting pathogen of a range of food staples worldwide including wheat, rice, maize, soybean, potato, legumes and others. Conventional resistance breeding strategies are hindered by the absence of tractable genetic resistance in any crop host. Understanding the biology and pathogenicity mechanisms of this fungus is important for addressing these disease issues, however, little is known about how R. solani causes disease. The data described in this article is derived from applying mass spectrometry based proteomics to identify soluble, membrane-bound and culture filtrate proteins produced under wheat infection and vegetative growth conditions. Comparisons of the data for sample types in this set will be useful to identify metabolic pathway changes as the fungus switches from saprophytic to a pathogenic lifestyle or pathogenicity related proteins contributing to the ability to cause disease on wheat. The data set is deposited in the PRIDE archive under identifier PRIDE: PXD002806.

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The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 23%
Student > Ph. D. Student 4 18%
Other 2 9%
Student > Bachelor 2 9%
Student > Postgraduate 2 9%
Other 5 23%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 36%
Biochemistry, Genetics and Molecular Biology 7 32%
Immunology and Microbiology 1 5%
Sports and Recreations 1 5%
Chemistry 1 5%
Other 0 0%
Unknown 4 18%
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 23 June 2016.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Data in Brief
#2,209
of 3,678 outputs
Outputs of similar age
#253,806
of 353,031 outputs
Outputs of similar age from Data in Brief
#55
of 117 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,678 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 35th percentile – i.e., 35% 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 353,031 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.