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X Demographics
Mendeley readers
Attention Score in Context
Title |
Assembly complexity of prokaryotic genomes using short reads
|
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Published in |
BMC Bioinformatics, January 2010
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DOI | 10.1186/1471-2105-11-21 |
Pubmed ID | |
Authors |
Carl Kingsford, Michael C Schatz, Mihai Pop |
Abstract |
De Bruijn graphs are a theoretical framework underlying several modern genome assembly programs, especially those that deal with very short reads. We describe an application of de Bruijn graphs to analyze the global repeat structure of prokaryotic genomes. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 9% |
New Zealand | 1 | 9% |
Norway | 1 | 9% |
Germany | 1 | 9% |
Cameroon | 1 | 9% |
France | 1 | 9% |
Unknown | 5 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 82% |
Members of the public | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 2 | <1% |
Unknown | 234 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 4% |
Student > Ph. D. Student | 4 | 2% |
Other | 3 | 1% |
Professor | 2 | <1% |
Student > Master | 2 | <1% |
Other | 3 | 1% |
Unknown | 212 | 90% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 3% |
Biochemistry, Genetics and Molecular Biology | 4 | 2% |
Computer Science | 3 | 1% |
Immunology and Microbiology | 2 | <1% |
Physics and Astronomy | 2 | <1% |
Other | 5 | 2% |
Unknown | 213 | 90% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 23 January 2018.
All research outputs
#3,703,147
of 22,685,926 outputs
Outputs from BMC Bioinformatics
#1,404
of 7,252 outputs
Outputs of similar age
#21,627
of 164,455 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 59 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,252 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 80% 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 164,455 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.