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Attention Score in Context
| Title |
Disentangling homeologous contigs in allo-tetraploid assembly: application to durum wheat
|
|---|---|
| Published in |
BMC Bioinformatics, October 2013
|
| DOI | 10.1186/1471-2105-14-s15-s15 |
| Pubmed ID | |
| Authors |
Vincent Ranwez, Yan Holtz, Gautier Sarah, Morgane Ardisson, Sylvain Santoni, Sylvain Glémin, Muriel Tavaud-Pirra, Jacques David |
| Abstract |
Using Next Generation Sequencing, SNP discovery is relatively easy on diploid species and still hampered in polyploid species by the confusion due to homeology. We develop HomeoSplitter; a fast and effective solution to split original contigs obtained by RNAseq into two homeologous sequences. It uses the differential expression of the two homeologous genes in the RNA. We verify that the new sequences are closer to the diploid progenitors of the allopolyploid species than the original contig. By remapping original reads on these new sequences, we also verify that the number of valuable detected SNPs has significantly increased. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
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 % |
|---|---|---|
| Sweden | 2 | 4% |
| France | 1 | 2% |
| Italy | 1 | 2% |
| Netherlands | 1 | 2% |
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| China | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 47 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 39% |
| Student > Ph. D. Student | 14 | 25% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 71% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Computer Science | 5 | 9% |
| Mathematics | 1 | 2% |
| Unknown | 2 | 4% |
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 09 February 2016.
All research outputs
#14,191,572
of 22,747,498 outputs
Outputs from BMC Bioinformatics
#4,722
of 7,268 outputs
Outputs of similar age
#118,229
of 210,815 outputs
Outputs of similar age from BMC Bioinformatics
#61
of 107 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 210,815 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.