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A Larger Chocolate Chip—Development of a 15K Theobroma cacao L. SNP Array to Create High-Density Linkage Maps

Overview of attention for article published in Frontiers in Plant Science, December 2017
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
A Larger Chocolate Chip—Development of a 15K Theobroma cacao L. SNP Array to Create High-Density Linkage Maps
Published in
Frontiers in Plant Science, December 2017
DOI 10.3389/fpls.2017.02008
Pubmed ID
Authors

Donald Livingstone, Conrad Stack, Guiliana M. Mustiga, Dayana C. Rodezno, Carmen Suarez, Freddy Amores, Frank A. Feltus, Keithanne Mockaitis, Omar E. Cornejo, Juan C. Motamayor

Abstract

Cacao (Theobroma cacao L.) is an important cash crop in tropical regions around the world and has a rich agronomic history in South America. As a key component in the cosmetic and confectionary industries, millions of people worldwide use products made from cacao, ranging from shampoo to chocolate. An Illumina Infinity II array was created using 13,530 SNPs identified within a small diversity panel of cacao. Of these SNPs, 12,643 derive from variation within annotated cacao genes. The genotypes of 3,072 trees were obtained, including two mapping populations from Ecuador. High-density linkage maps for these two populations were generated and compared to the cacao genome assembly. Phenotypic data from these populations were combined with the linkage maps to identify the QTLs for yield and disease resistance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Bachelor 8 14%
Student > Ph. D. Student 7 12%
Student > Master 6 10%
Professor > Associate Professor 5 9%
Other 12 21%
Unknown 11 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 41%
Biochemistry, Genetics and Molecular Biology 6 10%
Computer Science 4 7%
Environmental Science 2 3%
Engineering 2 3%
Other 9 16%
Unknown 11 19%
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 07 May 2018.
All research outputs
#13,500,295
of 23,012,811 outputs
Outputs from Frontiers in Plant Science
#6,504
of 20,511 outputs
Outputs of similar age
#214,784
of 439,603 outputs
Outputs of similar age from Frontiers in Plant Science
#162
of 427 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,511 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 67% 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 439,603 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 427 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 61% of its contemporaries.