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Transcriptome sequencing for SNP discovery across Cucumis melo

Overview of attention for article published in BMC Genomics, June 2012
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Title
Transcriptome sequencing for SNP discovery across Cucumis melo
Published in
BMC Genomics, June 2012
DOI 10.1186/1471-2164-13-280
Pubmed ID
Authors

José Blanca, Cristina Esteras, Pello Ziarsolo, Daniel Pérez, Victoria Fernández-Pedrosa, Carmen Collado, Raquel Rodríguez de Pablos, Alida Ballester, Cristina Roig, Joaquín Cañizares, Belén Picó

Abstract

Melon (Cucumis melo L.) is a highly diverse species that is cultivated worldwide. Recent advances in massively parallel sequencing have begun to allow the study of nucleotide diversity in this species. The Sanger method combined with medium-throughput 454 technology were used in a previous study to analyze the genetic diversity of germplasm representing 3 botanical varieties, yielding a collection of about 40,000 SNPs distributed in 14,000 unigenes. However, the usefulness of this resource is limited as the sequenced genotypes do not represent the whole diversity of the species, which is divided into two subspecies with many botanical varieties variable in plant, flowering, and fruit traits, as well as in stress response. As a first step to extensively document levels and patterns of nucleotide variability across the species, we used the high-throughput SOLiD™ system to resequence the transcriptomes of a set of 67 genotypes that had previously been selected from a core collection representing the extant variation of the entire species.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 2%
Spain 2 2%
Colombia 1 <1%
India 1 <1%
Germany 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 101 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 33%
Student > Ph. D. Student 27 25%
Student > Master 12 11%
Student > Postgraduate 6 5%
Student > Doctoral Student 6 5%
Other 12 11%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 61%
Biochemistry, Genetics and Molecular Biology 18 16%
Environmental Science 1 <1%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Computer Science 1 <1%
Other 5 5%
Unknown 17 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 July 2012.
All research outputs
#14,147,011
of 22,669,724 outputs
Outputs from BMC Genomics
#5,672
of 10,614 outputs
Outputs of similar age
#96,529
of 164,528 outputs
Outputs of similar age from BMC Genomics
#49
of 104 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 164,528 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.