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High-throughput SNP genotyping in Cucurbita pepo for map construction and quantitative trait loci mapping

Overview of attention for article published in BMC Genomics, February 2012
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Title
High-throughput SNP genotyping in Cucurbita pepo for map construction and quantitative trait loci mapping
Published in
BMC Genomics, February 2012
DOI 10.1186/1471-2164-13-80
Pubmed ID
Authors

Cristina Esteras, Pedro Gómez, Antonio J Monforte, José Blanca, Nelly Vicente-Dólera, Cristina Roig, Fernando Nuez, Belén Picó

Abstract

Cucurbita pepo is a member of the Cucurbitaceae family, the second- most important horticultural family in terms of economic importance after Solanaceae. The "summer squash" types, including Zucchini and Scallop, rank among the highest-valued vegetables worldwide. There are few genomic tools available for this species.The first Cucurbita transcriptome, along with a large collection of Single Nucleotide Polymorphisms (SNP), was recently generated using massive sequencing. A set of 384 SNP was selected to generate an Illumina GoldenGate assay in order to construct the first SNP-based genetic map of Cucurbita and map quantitative trait loci (QTL).

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 2%
United States 2 2%
Indonesia 1 <1%
Brazil 1 <1%
Italy 1 <1%
Benin 1 <1%
Gambia 1 <1%
Unknown 115 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 27%
Student > Ph. D. Student 28 22%
Student > Master 14 11%
Student > Doctoral Student 5 4%
Student > Postgraduate 5 4%
Other 16 13%
Unknown 23 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 64%
Biochemistry, Genetics and Molecular Biology 11 9%
Environmental Science 2 2%
Medicine and Dentistry 2 2%
Social Sciences 1 <1%
Other 1 <1%
Unknown 28 22%
Attention Score in Context

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 28 February 2012.
All research outputs
#17,655,675
of 22,663,150 outputs
Outputs from BMC Genomics
#7,522
of 10,613 outputs
Outputs of similar age
#118,045
of 156,341 outputs
Outputs of similar age from BMC Genomics
#57
of 72 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,613 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 156,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.