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Tomato breeding in the genomics era: insights from a SNP array

Overview of attention for article published in BMC Genomics, May 2013
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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5 X users
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1 Facebook page

Citations

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54 Dimensions

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147 Mendeley
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1 CiteULike
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Title
Tomato breeding in the genomics era: insights from a SNP array
Published in
BMC Genomics, May 2013
DOI 10.1186/1471-2164-14-354
Pubmed ID
Authors

Marcela Víquez-Zamora, Ben Vosman, Henri van de Geest, Arnaud Bovy, Richard GF Visser, Richard Finkers, Adriaan W van Heusden

Abstract

The major bottle neck in genetic and linkage studies in tomato has been the lack of a sufficient number of molecular markers. This has radically changed with the application of next generation sequencing and high throughput genotyping. A set of 6000 SNPs was identified and 5528 of them were used to evaluate tomato germplasm at the level of species, varieties and segregating populations.

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

Geographical breakdown

Country Count As %
Netherlands 5 3%
France 1 <1%
Gambia 1 <1%
Cuba 1 <1%
Israel 1 <1%
India 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
United States 1 <1%
Other 0 0%
Unknown 134 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 27%
Student > Master 30 20%
Student > Ph. D. Student 27 18%
Student > Bachelor 7 5%
Student > Postgraduate 6 4%
Other 20 14%
Unknown 18 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 105 71%
Biochemistry, Genetics and Molecular Biology 8 5%
Medicine and Dentistry 6 4%
Computer Science 3 2%
Unspecified 1 <1%
Other 1 <1%
Unknown 23 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 June 2013.
All research outputs
#7,878,286
of 23,881,329 outputs
Outputs from BMC Genomics
#3,741
of 10,793 outputs
Outputs of similar age
#66,980
of 197,119 outputs
Outputs of similar age from BMC Genomics
#38
of 116 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 197,119 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 50% of its contemporaries.
We're also able to compare this research output to 116 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 62% of its contemporaries.