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X Demographics
Mendeley readers
Attention Score in Context
Title |
Arapan-S: a fast and highly accurate whole-genome assembly software for viruses and small genomes
|
---|---|
Published in |
BMC Research Notes, May 2012
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DOI | 10.1186/1756-0500-5-243 |
Pubmed ID | |
Authors |
Mohammed Sahli, Tetsuo Shibuya |
Abstract |
Genome assembly is considered to be a challenging problem in computational biology, and has been studied extensively by many researchers. It is extremely difficult to build a general assembler that is able to reconstruct the original sequence instead of many contigs. However, we believe that creating specific assemblers, for solving specific cases, will be much more fruitful than creating general assemblers. |
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 % |
---|---|---|
China | 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 6% |
United Kingdom | 1 | 3% |
Unknown | 29 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 34% |
Student > Ph. D. Student | 8 | 25% |
Student > Master | 3 | 9% |
Other | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 4 | 13% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 53% |
Computer Science | 4 | 13% |
Biochemistry, Genetics and Molecular Biology | 3 | 9% |
Immunology and Microbiology | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Other | 2 | 6% |
Unknown | 3 | 9% |
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 17 April 2013.
All research outputs
#18,336,865
of 22,707,247 outputs
Outputs from BMC Research Notes
#3,010
of 4,256 outputs
Outputs of similar age
#126,245
of 163,809 outputs
Outputs of similar age from BMC Research Notes
#47
of 65 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 16th percentile – i.e., 16% 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 163,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.