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Transcriptome analysis during berry development provides insights into co-regulated and altered gene expression between a seeded wine grape variety and its seedless somatic variant

Overview of attention for article published in BMC Genomics, November 2014
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Title
Transcriptome analysis during berry development provides insights into co-regulated and altered gene expression between a seeded wine grape variety and its seedless somatic variant
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-1030
Pubmed ID
Authors

Chinedu Charles Nwafor, Ivana Gribaudo, Anna Schneider, Ron Wehrens, Maria Stella Grando, Laura Costantini

Abstract

Seedless grapes are greatly appreciated for fresh and dry fruit consumption. Parthenocarpy and stenospermocarpy have been described as the main phenomena responsible for seedlessness in Vitis vinifera. However, the key genes underpinning molecular and cellular processes that play a significant role in seed development are not well characterized. To identify important regulators and mechanisms that may be altered in the seedless phenotype, we performed a comprehensive transcriptional analysis to compare the transcriptomes of a popular seeded wine cultivar (wild-type) and its seedless somatic variant (mutant) at three key developmental stages.

X Demographics

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The data shown below were collected from the profiles of 2 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 29%
Researcher 17 24%
Student > Master 6 9%
Student > Doctoral Student 5 7%
Professor > Associate Professor 4 6%
Other 7 10%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 67%
Biochemistry, Genetics and Molecular Biology 5 7%
Engineering 2 3%
Nursing and Health Professions 1 1%
Social Sciences 1 1%
Other 1 1%
Unknown 13 19%
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 02 December 2014.
All research outputs
#14,790,240
of 22,771,140 outputs
Outputs from BMC Genomics
#6,131
of 10,641 outputs
Outputs of similar age
#203,413
of 361,861 outputs
Outputs of similar age from BMC Genomics
#133
of 244 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,641 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 361,861 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 244 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.