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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving draft assemblies by iterative mapping and assembly of short reads to eliminate gaps
|
|---|---|
| Published in |
Genome Biology, April 2010
|
| DOI | 10.1186/gb-2010-11-4-r41 |
| Pubmed ID | |
| Authors |
Isheng J Tsai, Thomas D Otto, Matthew Berriman |
| Abstract |
Advances in sequencing technology allow genomes to be sequenced at vastly decreased costs. However, the assembled data frequently are highly fragmented with many gaps. We present a practical approach that uses Illumina sequences to improve draft genome assemblies by aligning sequences against contig ends and performing local assemblies to produce gap-spanning contigs. The continuity of a draft genome can thus be substantially improved, often without the need to generate new data. |
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 States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 527 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 30 | 6% |
| Brazil | 12 | 2% |
| United Kingdom | 9 | 2% |
| Netherlands | 5 | <1% |
| Italy | 5 | <1% |
| Germany | 5 | <1% |
| France | 4 | <1% |
| Japan | 4 | <1% |
| Belgium | 4 | <1% |
| Other | 28 | 5% |
| Unknown | 421 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 157 | 30% |
| Student > Ph. D. Student | 131 | 25% |
| Student > Master | 64 | 12% |
| Student > Bachelor | 33 | 6% |
| Other | 26 | 5% |
| Other | 81 | 15% |
| Unknown | 35 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 333 | 63% |
| Biochemistry, Genetics and Molecular Biology | 68 | 13% |
| Computer Science | 32 | 6% |
| Immunology and Microbiology | 11 | 2% |
| Medicine and Dentistry | 7 | 1% |
| Other | 34 | 6% |
| Unknown | 42 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 08 September 2014.
All research outputs
#1,336,257
of 25,374,917 outputs
Outputs from Genome Biology
#1,041
of 4,467 outputs
Outputs of similar age
#4,290
of 102,784 outputs
Outputs of similar age from Genome Biology
#4
of 33 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% 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 has done well, scoring higher than 76% of its peers.
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 102,784 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.