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BatchPrimer3: A high throughput web application for PCR and sequencing primer design

Overview of attention for article published in BMC Bioinformatics, May 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
631 Dimensions

Readers on

mendeley
595 Mendeley
citeulike
8 CiteULike
connotea
8 Connotea
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Title
BatchPrimer3: A high throughput web application for PCR and sequencing primer design
Published in
BMC Bioinformatics, May 2008
DOI 10.1186/1471-2105-9-253
Pubmed ID
Authors

Frank M You, Naxin Huo, Yong Qiang Gu, Ming-cheng Luo, Yaqin Ma, Dave Hane, Gerard R Lazo, Jan Dvorak, Olin D Anderson

Abstract

Microsatellite (simple sequence repeat - SSR) and single nucleotide polymorphism (SNP) markers are two types of important genetic markers useful in genetic mapping and genotyping. Often, large-scale genomic research projects require high-throughput computer-assisted primer design. Numerous such web-based or standard-alone programs for PCR primer design are available but vary in quality and functionality. In particular, most programs lack batch primer design capability. Such a high-throughput software tool for designing SSR flanking primers and SNP genotyping primers is increasingly demanded.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 595 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
Germany 6 1%
France 5 <1%
China 3 <1%
United Kingdom 3 <1%
Brazil 3 <1%
Australia 2 <1%
Switzerland 2 <1%
India 2 <1%
Other 22 4%
Unknown 538 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 148 25%
Researcher 134 23%
Student > Master 80 13%
Student > Bachelor 45 8%
Student > Postgraduate 29 5%
Other 88 15%
Unknown 71 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 315 53%
Biochemistry, Genetics and Molecular Biology 102 17%
Medicine and Dentistry 24 4%
Computer Science 19 3%
Chemistry 7 1%
Other 35 6%
Unknown 93 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 09 April 2020.
All research outputs
#1,630,450
of 17,405,806 outputs
Outputs from BMC Bioinformatics
#509
of 6,157 outputs
Outputs of similar age
#29,040
of 295,490 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 41 outputs
Altmetric has tracked 17,405,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,157 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 91% 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 295,490 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.