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The Colletotrichum acutatum Species Complex as a Model System to Study Evolution and Host Specialization in Plant Pathogens

Overview of attention for article published in Frontiers in Microbiology, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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12 X users
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1 Facebook page
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1 Wikipedia page

Citations

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67 Dimensions

Readers on

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124 Mendeley
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Title
The Colletotrichum acutatum Species Complex as a Model System to Study Evolution and Host Specialization in Plant Pathogens
Published in
Frontiers in Microbiology, October 2017
DOI 10.3389/fmicb.2017.02001
Pubmed ID
Authors

Riccardo Baroncelli, Pedro Talhinhas, Flora Pensec, Serenella A. Sukno, Gaetan Le Floch, Michael R. Thon

Abstract

Colletotrichum spp. infect a wide diversity of hosts, causing plant diseases on many economically important crops worldwide. The genus contains approximately 189 species organized into at least 11 major phylogenetic lineages, also known as species complexes. The Colletotrichum acutatum species complex is a diverse yet relatively closely related group of plant pathogenic fungi within this genus. Within the species complex we find a wide diversity of important traits such as host range and host preference, mode of reproduction and differences in the strategy used to infect their hosts. Research on fungal comparative genomics have attempted to find correlations in these traits and patterns of gene family evolution but such studies typically compare fungi from different genera or even different fungal Orders. The C. acutatum species complex contains most of this diversity within a group of relatively closely related species. This Perspective article presents a review of the current knowledge on C. acutatum phylogeny, biology, and pathology. It also demonstrates the suitability of C. acutatum for the study of gene family evolution on a fine scale to uncover evolutionary events in the genome that are associated with the evolution of phenotypic characters important for host interactions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 19%
Student > Master 16 13%
Student > Ph. D. Student 12 10%
Student > Doctoral Student 12 10%
Student > Bachelor 7 6%
Other 13 10%
Unknown 40 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 51%
Biochemistry, Genetics and Molecular Biology 6 5%
Medicine and Dentistry 3 2%
Chemistry 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 6 5%
Unknown 43 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 December 2018.
All research outputs
#3,367,062
of 24,554,073 outputs
Outputs from Frontiers in Microbiology
#2,993
of 27,883 outputs
Outputs of similar age
#60,833
of 329,236 outputs
Outputs of similar age from Frontiers in Microbiology
#91
of 518 outputs
Altmetric has tracked 24,554,073 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,883 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 89% 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 329,236 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 518 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.