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Western corn rootworm (Diabrotica virgifera virgifera) transcriptome assembly and genomic analysis of population structure

Overview of attention for article published in BMC Genomics, March 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

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25 Dimensions

Readers on

mendeley
56 Mendeley
citeulike
2 CiteULike
Title
Western corn rootworm (Diabrotica virgifera virgifera) transcriptome assembly and genomic analysis of population structure
Published in
BMC Genomics, March 2014
DOI 10.1186/1471-2164-15-195
Pubmed ID
Authors

Lex E Flagel, Raman Bansal, Randall A Kerstetter, Mao Chen, Matthew Carroll, Ronald Flannagan, Thomas Clark, Barry S Goldman, Andy P Michel

Abstract

Western corn rootworm (WCR) is one of the most significant insect pests of maize in North America. WCR has dramatically increased its range in the last century, invading key maize production areas in the US and abroad. In addition, this species has a history of evolving traits that allow it to escape various control options. Improved genetic and genomic resources are crucial tools for understanding population history and the genetic basis of trait evolution. Here we produce and analyze a transcriptome assembly for WCR. We also perform whole genome population resequencing, and combine these resources to better understand the evolutionary history of WCR.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
Switzerland 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 27%
Researcher 12 21%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Other 3 5%
Other 8 14%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 59%
Biochemistry, Genetics and Molecular Biology 8 14%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Psychology 1 2%
Other 1 2%
Unknown 11 20%

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 25 January 2015.
All research outputs
#7,882,001
of 14,557,384 outputs
Outputs from BMC Genomics
#3,810
of 8,491 outputs
Outputs of similar age
#91,644
of 220,354 outputs
Outputs of similar age from BMC Genomics
#5
of 9 outputs
Altmetric has tracked 14,557,384 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,491 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 52% 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 220,354 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 56% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.