| Title |
Detection and correction of false segmental duplications caused by genome mis-assembly
|
|---|---|
| Published in |
Genome Biology, March 2010
|
| DOI | 10.1186/gb-2010-11-3-r28 |
| Pubmed ID | |
| Authors |
David R Kelley, Steven L Salzberg |
| Abstract |
Diploid genomes with divergent chromosomes present special problems for assembly software as two copies of especially polymorphic regions may be mistakenly constructed, creating the appearance of a recent segmental duplication. We developed a method for identifying such false duplications and applied it to four vertebrate genomes. For each genome, we corrected mis-assemblies, improved estimates of the amount of duplicated sequence, and recovered polymorphisms between the sequenced chromosomes. |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| United Kingdom | 3 | 2% |
| Sweden | 2 | 1% |
| Korea, Republic of | 1 | <1% |
| Norway | 1 | <1% |
| South Africa | 1 | <1% |
| Belgium | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 132 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 29% |
| Student > Ph. D. Student | 36 | 24% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 8 | 5% |
| Other | 26 | 18% |
| Unknown | 12 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 95 | 64% |
| Biochemistry, Genetics and Molecular Biology | 22 | 15% |
| Computer Science | 13 | 9% |
| Engineering | 2 | 1% |
| Medicine and Dentistry | 2 | 1% |
| Other | 2 | 1% |
| Unknown | 12 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 12 March 2010.
All research outputs
#5,422,157
of 25,371,288 outputs
Outputs from Genome Biology
#2,923
of 4,467 outputs
Outputs of similar age
#22,424
of 102,518 outputs
Outputs of similar age from Genome Biology
#14
of 25 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 34th percentile – i.e., 34% 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 102,518 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.