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Finishing bacterial genome assemblies with Mix

Overview of attention for article published in BMC Bioinformatics, October 2013
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Citations

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81 Mendeley
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Title
Finishing bacterial genome assemblies with Mix
Published in
BMC Bioinformatics, October 2013
DOI 10.1186/1471-2105-14-s15-s16
Pubmed ID
Authors

Hayssam Soueidan, Florence Maurier, Alexis Groppi, Pascal Sirand-Pugnet, Florence Tardy, Christine Citti, Virginie Dupuy, Macha Nikolski

Abstract

Among challenges that hamper reaping the benefits of genome assembly are both unfinished assemblies and the ensuing experimental costs. First, numerous software solutions for genome de novo assembly are available, each having its advantages and drawbacks, without clear guidelines as to how to choose among them. Second, these solutions produce draft assemblies that often require a resource intensive finishing phase.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Korea, Republic of 1 1%
Ireland 1 1%
Australia 1 1%
Sweden 1 1%
United Kingdom 1 1%
United States 1 1%
Unknown 74 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Ph. D. Student 19 23%
Student > Master 11 14%
Student > Bachelor 7 9%
Professor 7 9%
Other 8 10%
Unknown 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 47%
Computer Science 14 17%
Biochemistry, Genetics and Molecular Biology 11 14%
Medicine and Dentistry 2 2%
Veterinary Science and Veterinary Medicine 1 1%
Other 4 5%
Unknown 11 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 May 2014.
All research outputs
#12,885,552
of 22,727,570 outputs
Outputs from BMC Bioinformatics
#3,786
of 7,262 outputs
Outputs of similar age
#106,149
of 210,770 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 107 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% 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 210,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.