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Mendeley readers
Attention Score in Context
Title |
Cutoffs and k-mers: implications from a transcriptome study in allopolyploid plants
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Published in |
BMC Genomics, March 2012
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DOI | 10.1186/1471-2164-13-92 |
Pubmed ID | |
Authors |
Nicole Gruenheit, Oliver Deusch, Christian Esser, Matthias Becker, Claudia Voelckel, Peter Lockhart |
Abstract |
Transcriptome analysis is increasingly being used to study the evolutionary origins and ecology of non-model plants. One issue for both transcriptome assembly and differential gene expression analyses is the common occurrence in plants of hybridisation and whole genome duplication (WGD) and hybridization resulting in allopolyploidy. The divergence of duplicated genes following WGD creates near identical homeologues that can be problematic for de novo assembly and also reference based assembly protocols that use short reads (35 - 100 bp). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 4% |
Italy | 3 | 3% |
Netherlands | 2 | 2% |
Sweden | 2 | 2% |
Brazil | 2 | 2% |
France | 1 | <1% |
Chile | 1 | <1% |
Australia | 1 | <1% |
Uruguay | 1 | <1% |
Other | 4 | 3% |
Unknown | 95 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 30 | 26% |
Student > Ph. D. Student | 29 | 25% |
Student > Bachelor | 10 | 9% |
Student > Master | 9 | 8% |
Professor > Associate Professor | 8 | 7% |
Other | 24 | 21% |
Unknown | 7 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 78 | 67% |
Biochemistry, Genetics and Molecular Biology | 13 | 11% |
Computer Science | 5 | 4% |
Engineering | 2 | 2% |
Neuroscience | 2 | 2% |
Other | 3 | 3% |
Unknown | 14 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 March 2012.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#132,292
of 168,987 outputs
Outputs of similar age from BMC Genomics
#67
of 82 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 168,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.