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Mendeley readers
Attention Score in Context
Title |
LAVA: An Open-Source Approach To Designing LAMP (Loop-Mediated Isothermal Amplification) DNA Signatures
|
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Published in |
BMC Bioinformatics, June 2011
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DOI | 10.1186/1471-2105-12-240 |
Pubmed ID | |
Authors |
Clinton Torres, Elizabeth A Vitalis, Brian R Baker, Shea N Gardner, Marisa W Torres, John M Dzenitis |
Abstract |
We developed an extendable open-source Loop-mediated isothermal AMPlification (LAMP) signature design program called LAVA (LAMP Assay Versatile Analysis). LAVA was created in response to limitations of existing LAMP signature programs. |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 2 | <1% |
Germany | 1 | <1% |
Switzerland | 1 | <1% |
Malaysia | 1 | <1% |
France | 1 | <1% |
Kenya | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
Ukraine | 1 | <1% |
Other | 4 | 2% |
Unknown | 192 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 47 | 23% |
Student > Ph. D. Student | 34 | 17% |
Student > Master | 30 | 15% |
Student > Bachelor | 15 | 7% |
Professor > Associate Professor | 10 | 5% |
Other | 38 | 18% |
Unknown | 32 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 76 | 37% |
Biochemistry, Genetics and Molecular Biology | 46 | 22% |
Medicine and Dentistry | 15 | 7% |
Immunology and Microbiology | 9 | 4% |
Veterinary Science and Veterinary Medicine | 7 | 3% |
Other | 18 | 9% |
Unknown | 35 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 24 January 2023.
All research outputs
#4,906,861
of 23,578,918 outputs
Outputs from BMC Bioinformatics
#1,854
of 7,398 outputs
Outputs of similar age
#22,478
of 102,151 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 99 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,398 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 73% 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 102,151 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 99 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 74% of its contemporaries.