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Genome Sequences of Three Phytopathogenic Species of the Magnaporthaceae Family of Fungi

Overview of attention for article published in G3: Genes, Genomes, Genetics, December 2015
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Article details
Title
Genome Sequences of Three Phytopathogenic Species of the Magnaporthaceae Family of Fungi
Published in
G3: Genes, Genomes, Genetics, December 2015
DOI 10.1534/g3.115.020057
Pubmed ID
Authors
Abstract

Magnaporthaceae is a family of ascomycetes that includes three fungi of great economic importance: Magnaporthe oryzae, Gaeumannomyces graminis var. tritici, and Magnaporthe poae. These three fungi cause widespread disease and loss in cereal and grass crops including rice blast disease (M. oryzae), take-all disease in wheat and other grasses (G. graminis), and summer patch disease in turf grasses (M. poae). Here, we present the finished genome sequence for M. oryzae and draft sequences for M. poae and G. graminis var. tritici. We used multiple technologies to sequence and annotate the genomes of M. oryzae, M. poae, and G. graminis var. tritici. The M. oryzae genome is now finished to 7 chromosomes while M. poae and G. graminis var. tritici are sequenced to 40.0X and 25.0X coverage respectively. Gene models were developed using multiple computational techniques and further supported by RNAseq data. In addition, we performed preliminary analysis of genome architecture and repetitive element DNA.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Canada 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 16 24%
Student > Ph. D. Student 15 23%
Student > Master 7 11%
Student > Bachelor 5 8%
Student > Doctoral Student 3 5%
Other 5 8%
Unknown 15 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 36 55%
Biochemistry, Genetics and Molecular Biology 11 17%
Chemical Engineering 2 3%
Neuroscience 2 3%
Computer Science 1 2%
Other 0 0%
Unknown 14 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 September 2016.
All research outputs
#7,663,913
of 28,036,136 outputs
Outputs from G3: Genes, Genomes, Genetics
#1,352
of 3,574 outputs
Outputs of similar age
#99,981
of 402,679 outputs
Outputs of similar age from G3: Genes, Genomes, Genetics
#42
of 85 outputs
Altmetric has tracked 28,036,136 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,574 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 61% 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 402,679 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 85 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.