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Draft genome of the mountain pine beetle, Dendroctonus ponderosae Hopkins, a major forest pest

Overview of attention for article published in Genome Biology (Online Edition), January 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
3 news outlets
blogs
4 blogs
twitter
9 tweeters
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
googleplus
3 Google+ users
video
1 video uploader

Citations

dimensions_citation
171 Dimensions

Readers on

mendeley
230 Mendeley
citeulike
1 CiteULike
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Title
Draft genome of the mountain pine beetle, Dendroctonus ponderosae Hopkins, a major forest pest
Published in
Genome Biology (Online Edition), January 2013
DOI 10.1186/gb-2013-14-3-r27
Pubmed ID
Authors

Christopher I Keeling, Macaire MS Yuen, Nancy Y Liao, T Roderick Docking, Simon K Chan, Greg A Taylor, Diana L Palmquist, Shaun D Jackman, Anh Nguyen, Maria Li, Hannah Henderson, Jasmine K Janes, Yongjun Zhao, Pawan Pandoh, Richard Moore, Felix AH Sperling, Dezene P W Huber, Inanc Birol, Steven JM Jones, Joerg Bohlmann

Abstract

BACKGROUND: The mountain pine beetle, Dendroctonus ponderosae Hopkins, is the most serious insect pest of western North American pine forests. A recent outbreak destroyed more than 15 million hectares of pine forests, with major environmental effects on forest health, and economic effects on the forest industry. The outbreak has in part been driven by climate change, and will contribute to increased carbon emissions through decaying forests. RESULTS: We developed a genome sequence resource for the mountain pine beetle to better understand the unique aspects of this insect's biology. A draft de novo genome sequence was assembled from paired-end, short-read sequences from an individual field-collected male pupa, and scaffolded using mate-paired, short-read genomic sequences from pooled field-collected pupae, paired-end short-insert whole-transcriptome shotgun sequencing reads of mRNA from adult beetle tissues, and paired-end Sanger EST sequences from various life stages. We describe the cytochrome P450, glutathione S-transferase, and plant cell wall-degrading enzyme gene families important to the survival of the mountain pine beetle in its harsh and nutrient-poor host environment, and examine genome-wide single-nucleotide polymorphism variation. A horizontally transferred bacterial sucrose-6-phosphate hydrolase was evident in the genome, and its tissue-specific transcription suggests a functional role for this beetle. CONCLUSIONS: Despite Coleoptera being the largest insect order with over 400,000 described species, including many agricultural and forest pest species, this is only the second genome sequence reported in Coleoptera, and will provide an important resource for the Curculionoidea and other insects.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 5%
Canada 4 2%
Spain 3 1%
Germany 2 <1%
United Kingdom 2 <1%
Norway 2 <1%
France 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Other 5 2%
Unknown 198 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 24%
Researcher 56 24%
Student > Master 39 17%
Student > Bachelor 25 11%
Student > Doctoral Student 16 7%
Other 27 12%
Unknown 11 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 154 67%
Biochemistry, Genetics and Molecular Biology 37 16%
Environmental Science 11 5%
Social Sciences 3 1%
Computer Science 2 <1%
Other 9 4%
Unknown 14 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 29 April 2019.
All research outputs
#264,462
of 13,697,025 outputs
Outputs from Genome Biology (Online Edition)
#225
of 3,051 outputs
Outputs of similar age
#2,582
of 148,207 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 7 outputs
Altmetric has tracked 13,697,025 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,051 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has done particularly well, scoring higher than 92% 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 148,207 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them