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New gene models and alternative splicing in the maize pathogen Colletotrichum graminicola revealed by RNA-Seq analysis

Overview of attention for article published in BMC Genomics, October 2014
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Title
New gene models and alternative splicing in the maize pathogen Colletotrichum graminicola revealed by RNA-Seq analysis
Published in
BMC Genomics, October 2014
DOI 10.1186/1471-2164-15-842
Pubmed ID
Authors

Ivo Schliebner, Rayko Becher, Marcus Hempel, Holger B Deising, Ralf Horbach

Abstract

An annotated genomic sequence of the corn anthracnose fungus Colletotrichum graminicola has been published previously, but correct identification of gene models by means of automated gene annotation remains a challenge. RNA-Seq offers the potential for substantially improved gene annotations and for the identification of posttranscriptional RNA modifications, such as alternative splicing and RNA editing.

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X Demographics

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

Geographical breakdown

Country Count As %
United States 1 1%
Portugal 1 1%
Uruguay 1 1%
Germany 1 1%
Unknown 63 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 31%
Researcher 14 21%
Student > Master 12 18%
Student > Doctoral Student 4 6%
Student > Bachelor 4 6%
Other 7 10%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 58%
Biochemistry, Genetics and Molecular Biology 13 19%
Engineering 3 4%
Environmental Science 2 3%
Computer Science 1 1%
Other 2 3%
Unknown 7 10%
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 05 October 2014.
All research outputs
#18,379,655
of 22,765,347 outputs
Outputs from BMC Genomics
#8,168
of 10,638 outputs
Outputs of similar age
#181,063
of 253,586 outputs
Outputs of similar age from BMC Genomics
#147
of 200 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 253,586 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 200 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.