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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ψ-RA: a parallel sparse index for genomic read alignment
|
|---|---|
| Published in |
BMC Genomics, July 2011
|
| DOI | 10.1186/1471-2164-12-s2-s7 |
| Pubmed ID | |
| Authors |
M Oğuzhan Külekci, Wing-Kai Hon, Rahul Shah, Jeffrey Scott Vitter, Bojian Xu |
| Abstract |
Genomic read alignment involves mapping (exactly or approximately) short reads from a particular individual onto a pre-sequenced reference genome of the same species. Because all individuals of the same species share the majority of their genomes, short reads alignment provides an alternative and much more efficient way to sequence the genome of a particular individual than does direct sequencing. Among many strategies proposed for this alignment process, indexing the reference genome and short read searching over the index is a dominant technique. Our goal is to design a space-efficient indexing structure with fast searching capability to catch the massive short reads produced by the next generation high-throughput DNA sequencing technology. |
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 Kingdom | 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Sweden | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 31 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 35% |
| Student > Ph. D. Student | 5 | 15% |
| Professor | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 35% |
| Computer Science | 6 | 18% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Mathematics | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 5 | 15% |
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 11 March 2013.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#93,936
of 130,875 outputs
Outputs of similar age from BMC Genomics
#48
of 88 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 27th percentile – i.e., 27% 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 130,875 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.