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Mendeley readers
Attention Score in Context
| Title |
SOPRA: Scaffolding algorithm for paired reads via statistical optimization
|
|---|---|
| Published in |
BMC Bioinformatics, June 2010
|
| DOI | 10.1186/1471-2105-11-345 |
| Pubmed ID | |
| Authors |
Adel Dayarian, Todd P Michael, Anirvan M Sengupta |
| Abstract |
High throughput sequencing (HTS) platforms produce gigabases of short read (<100 bp) data per run. While these short reads are adequate for resequencing applications, de novo assembly of moderate size genomes from such reads remains a significant challenge. These limitations could be partially overcome by utilizing mate pair technology, which provides pairs of short reads separated by a known distance along the genome. |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Brazil | 4 | 2% |
| France | 2 | <1% |
| Germany | 2 | <1% |
| Russia | 2 | <1% |
| Netherlands | 2 | <1% |
| Sweden | 2 | <1% |
| United Kingdom | 2 | <1% |
| Italy | 1 | <1% |
| Other | 10 | 5% |
| Unknown | 179 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 26% |
| Researcher | 53 | 25% |
| Student > Master | 26 | 12% |
| Professor > Associate Professor | 18 | 9% |
| Student > Bachelor | 14 | 7% |
| Other | 36 | 17% |
| Unknown | 9 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 116 | 55% |
| Computer Science | 40 | 19% |
| Biochemistry, Genetics and Molecular Biology | 15 | 7% |
| Engineering | 6 | 3% |
| Business, Management and Accounting | 3 | 1% |
| Other | 14 | 7% |
| Unknown | 17 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 February 2012.
All research outputs
#12,853,296
of 22,663,150 outputs
Outputs from BMC Bioinformatics
#3,776
of 7,246 outputs
Outputs of similar age
#71,878
of 93,803 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 71 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,246 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 45th percentile – i.e., 45% 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 93,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.