You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Assisted assembly: how to improve a de novo genome assembly by using related species
|
---|---|
Published in |
Genome Biology, August 2009
|
DOI | 10.1186/gb-2009-10-8-r88 |
Pubmed ID | |
Authors |
Sante Gnerre, Eric S Lander, Kerstin Lindblad-Toh, David B Jaffe |
Abstract |
We describe a new assembly algorithm, where a genome assembly with low sequence coverage, either throughout the genome or locally, due to cloning bias, is considerably improved through an assisting process via a related genome. We show that the information provided by aligning the whole-genome shotgun reads of the target against a reference genome can be used to substantially improve the quality of the resulting assembly. |
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 % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 6% |
Brazil | 6 | 2% |
France | 3 | 1% |
Germany | 3 | 1% |
China | 3 | 1% |
Sweden | 2 | <1% |
Norway | 2 | <1% |
Canada | 2 | <1% |
Argentina | 2 | <1% |
Other | 10 | 4% |
Unknown | 223 | 82% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 84 | 31% |
Student > Ph. D. Student | 75 | 28% |
Student > Master | 24 | 9% |
Professor | 17 | 6% |
Other | 14 | 5% |
Other | 38 | 14% |
Unknown | 19 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 168 | 62% |
Biochemistry, Genetics and Molecular Biology | 40 | 15% |
Computer Science | 23 | 8% |
Environmental Science | 7 | 3% |
Medicine and Dentistry | 3 | 1% |
Other | 10 | 4% |
Unknown | 20 | 7% |
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 31 May 2013.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Genome Biology
#4,269
of 4,467 outputs
Outputs of similar age
#92,443
of 100,909 outputs
Outputs of similar age from Genome Biology
#27
of 29 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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 1st percentile – i.e., 1% 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 100,909 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.