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Exploring the Emergence and Evolution of Plant Pathogenic Microbes Using Historical and Paleontological Sources

Overview of attention for article published in Annual Review of Phytopathology, April 2022
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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 (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
17 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
21 Mendeley
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Article details
Title
Exploring the Emergence and Evolution of Plant Pathogenic Microbes Using Historical and Paleontological Sources
Published in
Annual Review of Phytopathology, April 2022
DOI 10.1146/annurev-phyto-021021-041830
Pubmed ID
Authors
Abstract

Biotechnological advances now permit broad exploration of past microbial communities preserved in diverse substrates. Despite biomolecular degradation, high-throughput sequencing of preserved materials can yield invaluable genomic and metagenomic data from the past. This line of research has expanded from its initial human- and animal-centric foci to include plant-associated microbes (viruses, archaea, bacteria, fungi, and oomycetes), for which historical, archaeological, and paleontological data illuminate past epidemics and evolutionary history. Genetic mechanisms underlying the acquisition of microbial pathogenicity, including hybridization, polyploidization, and horizontal gene transfer, can now be reconstructed, as can gene-for-gene coevolution with plant hosts. Epidemiological parameters, such as geographic origin and range expansion, can also be assessed. Building on published case studies with individual phytomicrobial taxa, the stage is now set for broader, community-wide studies of preserved plant microbiomes to strengthen mechanistic understanding of microbial interactions and plant disease emergence. Expected final online publication date for the Annual Review of Phytopathology, Volume 60 is August 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 21 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 %
Unknown 21 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 4 19%
Student > Doctoral Student 2 10%
Student > Ph. D. Student 2 10%
Lecturer 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 10 48%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 7 33%
Immunology and Microbiology 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Neuroscience 1 5%
Unknown 10 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 21 November 2023.
All research outputs
#2,985,431
of 34,383,983 outputs
Outputs from Annual Review of Phytopathology
#100
of 865 outputs
Outputs of similar age
#53,006
of 470,673 outputs
Outputs of similar age from Annual Review of Phytopathology
#7
of 14 outputs
Altmetric has tracked 34,383,983 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 865 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done well, scoring higher than 88% 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 470,673 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 88% of its contemporaries.
We're also able to compare this research output to 14 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.