| 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 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 | 56 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 27% |
| Researcher | 12 | 20% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Other | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 58% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Computer Science | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 13 | 22% |
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
#13,405,680
of 22,749,166 outputs
Outputs from BMC Genomics
#4,982
of 10,634 outputs
Outputs of similar age
#109,381
of 220,990 outputs
Outputs of similar age from BMC Genomics
#59
of 151 outputs
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So far Altmetric has tracked 10,634 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% of its peers.
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We're also able to compare this research output to 151 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 56% of its contemporaries.