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Mendeley readers
Attention Score in Context
| Title |
Use of mRNA-seq to discriminate contributions to the transcriptome from the constituent genomes of the polyploid crop species Brassica napus
|
|---|---|
| Published in |
BMC Genomics, June 2012
|
| DOI | 10.1186/1471-2164-13-247 |
| Pubmed ID | |
| Authors |
Janet Higgins, Andreas Magusin, Martin Trick, Fiona Fraser, Ian Bancroft |
| Abstract |
Polyploidy often results in considerable changes in gene expression, both immediately and over evolutionary time. New phenotypes often arise with polyploid formation and may contribute to the fitness of polyploids in nature or their selection for use in agriculture. Oilseed rape (Brassica napus) is widely used to study the process of polyploidy both in artificially resynthesised and natural forms. mRNA-Seq, a recently developed approach to transcriptome profiling using deep-sequencing technologies is an alternative to microarrays for the study of gene expression in a polyploid. |
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 % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 2% |
| China | 2 | 2% |
| Colombia | 1 | <1% |
| France | 1 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Chile | 1 | <1% |
| Unknown | 112 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 30% |
| Student > Ph. D. Student | 32 | 26% |
| Other | 8 | 7% |
| Student > Doctoral Student | 6 | 5% |
| Professor > Associate Professor | 6 | 5% |
| Other | 17 | 14% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 66% |
| Biochemistry, Genetics and Molecular Biology | 12 | 10% |
| Environmental Science | 2 | 2% |
| Nursing and Health Professions | 1 | <1% |
| Business, Management and Accounting | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 20 | 16% |
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 28 June 2012.
All research outputs
#18,308,895
of 22,668,244 outputs
Outputs from BMC Genomics
#8,143
of 10,614 outputs
Outputs of similar age
#127,849
of 166,052 outputs
Outputs of similar age from BMC Genomics
#77
of 102 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. 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 166,052 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 102 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.