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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ALLPATHS 2: small genomes assembled accurately and with high continuity from short paired reads
|
|---|---|
| Published in |
Genome Biology, October 2009
|
| DOI | 10.1186/gb-2009-10-10-r103 |
| Pubmed ID | |
| Authors |
Iain MacCallum, Dariusz Przybylski, Sante Gnerre, Joshua Burton, Ilya Shlyakhter, Andreas Gnirke, Joel Malek, Kevin McKernan, Swati Ranade, Terrance P Shea, Louise Williams, Sarah Young, Chad Nusbaum, David B Jaffe |
| Abstract |
We demonstrate that genome sequences approaching finished quality can be generated from short paired reads. Using 36 base (fragment) and 26 base (jumping) reads from five microbial genomes of varied GC composition and sizes up to 40 Mb, ALLPATHS2 generated assemblies with long, accurate contigs and scaffolds. Velvet and EULER-SR were less accurate. For example, for Escherichia coli, the fraction of 10-kb stretches that were perfect was 99.8% (ALLPATHS2), 68.7% (Velvet), and 42.1% (EULER-SR). |
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 % |
|---|---|---|
| Unknown | 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 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 5% |
| Germany | 9 | 3% |
| United Kingdom | 7 | 2% |
| Brazil | 6 | 2% |
| Netherlands | 4 | 1% |
| Norway | 4 | 1% |
| Italy | 3 | <1% |
| France | 3 | <1% |
| Japan | 3 | <1% |
| Other | 19 | 6% |
| Unknown | 271 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 103 | 30% |
| Student > Ph. D. Student | 77 | 22% |
| Student > Master | 38 | 11% |
| Professor > Associate Professor | 25 | 7% |
| Student > Doctoral Student | 22 | 6% |
| Other | 63 | 18% |
| Unknown | 17 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 210 | 61% |
| Computer Science | 44 | 13% |
| Biochemistry, Genetics and Molecular Biology | 35 | 10% |
| Engineering | 7 | 2% |
| Chemistry | 5 | 1% |
| Other | 20 | 6% |
| Unknown | 24 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 July 2019.
All research outputs
#7,355,485
of 25,373,627 outputs
Outputs from Genome Biology
#3,306
of 4,467 outputs
Outputs of similar age
#32,873
of 106,406 outputs
Outputs of similar age from Genome Biology
#22
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
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 24th percentile – i.e., 24% 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 106,406 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.