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Single nucleotide polymorphisms generated by genotyping by sequencing to characterize genome-wide diversity, linkage disequilibrium, and selective sweeps in cultivated watermelon

Overview of attention for article published in BMC Genomics, September 2014
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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6 Facebook pages

Citations

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67 Dimensions

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113 Mendeley
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Title
Single nucleotide polymorphisms generated by genotyping by sequencing to characterize genome-wide diversity, linkage disequilibrium, and selective sweeps in cultivated watermelon
Published in
BMC Genomics, September 2014
DOI 10.1186/1471-2164-15-767
Pubmed ID
Authors

Padma Nimmakayala, Amnon Levi, Lavanya Abburi, Venkata Lakshmi Abburi, Yan R Tomason, Thangasamy Saminathan, Venkata Gopinath Vajja, Sridhar Malkaram, Rishi Reddy, Todd C Wehner, Sharon E Mitchell, Umesh K Reddy

Abstract

A large single nucleotide polymorphism (SNP) dataset was used to analyze genome-wide diversity in a diverse collection of watermelon cultivars representing globally cultivated, watermelon genetic diversity. The marker density required for conducting successful association mapping depends on the extent of linkage disequilibrium (LD) within a population. Use of genotyping by sequencing reveals large numbers of SNPs that in turn generate opportunities in genome-wide association mapping and marker-assisted selection, even in crops such as watermelon for which few genomic resources are available. In this paper, we used genome-wide genetic diversity to study LD, selective sweeps, and pairwise FST distributions among worldwide cultivated watermelons to track signals of domestication.

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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 2%
Belgium 2 2%
Brazil 1 <1%
France 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Unknown 105 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 22%
Student > Ph. D. Student 21 19%
Student > Master 18 16%
Student > Doctoral Student 10 9%
Student > Postgraduate 5 4%
Other 11 10%
Unknown 23 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 61%
Biochemistry, Genetics and Molecular Biology 14 12%
Business, Management and Accounting 2 2%
Linguistics 1 <1%
Earth and Planetary Sciences 1 <1%
Other 1 <1%
Unknown 25 22%
Attention Score in Context

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 17 August 2017.
All research outputs
#5,907,407
of 23,577,654 outputs
Outputs from BMC Genomics
#2,415
of 10,777 outputs
Outputs of similar age
#56,848
of 240,004 outputs
Outputs of similar age from BMC Genomics
#40
of 197 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 240,004 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.