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The genome and transcriptome of the pine saprophyte Ophiostoma piceae, and a comparison with the bark beetle-associated pine pathogen Grosmannia clavigera

Overview of attention for article published in BMC Genomics, June 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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9 X users

Citations

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Title
The genome and transcriptome of the pine saprophyte Ophiostoma piceae, and a comparison with the bark beetle-associated pine pathogen Grosmannia clavigera
Published in
BMC Genomics, June 2013
DOI 10.1186/1471-2164-14-373
Pubmed ID
Authors

Sajeet Haridas, Ye Wang, Lynette Lim, Sepideh Massoumi Alamouti, Shaun Jackman, Rod Docking, Gordon Robertson, Inanc Birol, Jörg Bohlmann, Colette Breuil

Abstract

Ophiostoma piceae is a wood-staining fungus that grows in the sapwood of conifer logs and lumber. We sequenced its genome and analyzed its transcriptomes under a range of growth conditions. A comparison with the genome and transcriptomes of the mountain pine beetle-associated pathogen Grosmannia clavigera highlights differences between a pathogen that colonizes and kills living pine trees and a saprophyte that colonizes wood and the inner bark of dead trees.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
Norway 2 2%
United States 1 1%
Colombia 1 1%
Unknown 79 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 29%
Student > Ph. D. Student 24 28%
Student > Master 13 15%
Student > Doctoral Student 6 7%
Student > Bachelor 5 6%
Other 8 9%
Unknown 4 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 49%
Biochemistry, Genetics and Molecular Biology 18 21%
Environmental Science 4 5%
Chemical Engineering 2 2%
Computer Science 2 2%
Other 6 7%
Unknown 11 13%
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 06 July 2021.
All research outputs
#6,589,770
of 23,881,329 outputs
Outputs from BMC Genomics
#2,776
of 10,793 outputs
Outputs of similar age
#53,472
of 195,523 outputs
Outputs of similar age from BMC Genomics
#26
of 112 outputs
Altmetric has tracked 23,881,329 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 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% 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 195,523 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 72% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.