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Long-Read–Based de novo Genome Assembly and Comparative Genomics of the Wheat Leaf Rust Pathogen Puccinia triticina Identifies Candidates for Three Avirulence Genes

Overview of attention for article published in Frontiers in Genetics, June 2020
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Citations

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23 Mendeley
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Title
Long-Read–Based de novo Genome Assembly and Comparative Genomics of the Wheat Leaf Rust Pathogen Puccinia triticina Identifies Candidates for Three Avirulence Genes
Published in
Frontiers in Genetics, June 2020
DOI 10.3389/fgene.2020.00521
Pubmed ID
Authors

Jing Qin Wu, Chongmei Dong, Long Song, Robert F. Park

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 22%
Student > Doctoral Student 3 13%
Student > Bachelor 3 13%
Student > Ph. D. Student 3 13%
Student > Master 2 9%
Other 2 9%
Unknown 5 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 43%
Biochemistry, Genetics and Molecular Biology 4 17%
Environmental Science 2 9%
Veterinary Science and Veterinary Medicine 1 4%
Computer Science 1 4%
Other 1 4%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 June 2020.
All research outputs
#13,683,092
of 23,215,490 outputs
Outputs from Frontiers in Genetics
#3,338
of 12,251 outputs
Outputs of similar age
#200,845
of 398,095 outputs
Outputs of similar age from Frontiers in Genetics
#114
of 391 outputs
Altmetric has tracked 23,215,490 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,251 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 70% 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 398,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 391 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 69% of its contemporaries.