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Characterization of transcriptome dynamics during watermelon fruit development: sequencing, assembly, annotation and gene expression profiles

Overview of attention for article published in BMC Genomics, September 2011
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1 X user

Citations

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109 Dimensions

Readers on

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140 Mendeley
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6 CiteULike
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Title
Characterization of transcriptome dynamics during watermelon fruit development: sequencing, assembly, annotation and gene expression profiles
Published in
BMC Genomics, September 2011
DOI 10.1186/1471-2164-12-454
Pubmed ID
Authors

Shaogui Guo, Jingan Liu, Yi Zheng, Mingyun Huang, Haiying Zhang, Guoyi Gong, Hongju He, Yi Ren, Silin Zhong, Zhangjun Fei, Yong Xu

Abstract

Cultivated watermelon [Citrullus lanatus (Thunb.) Matsum. & Nakai var. lanatus] is an important agriculture crop world-wide. The fruit of watermelon undergoes distinct stages of development with dramatic changes in its size, color, sweetness, texture and aroma. In order to better understand the genetic and molecular basis of these changes and significantly expand the watermelon transcript catalog, we have selected four critical stages of watermelon fruit development and used Roche/454 next-generation sequencing technology to generate a large expressed sequence tag (EST) dataset and a comprehensive transcriptome profile for watermelon fruit flesh tissues.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 1%
Malaysia 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Gambia 1 <1%
Austria 1 <1%
Norway 1 <1%
Brazil 1 <1%
Argentina 1 <1%
Other 2 1%
Unknown 128 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 24%
Student > Ph. D. Student 32 23%
Student > Master 13 9%
Student > Postgraduate 12 9%
Student > Bachelor 11 8%
Other 25 18%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 64%
Biochemistry, Genetics and Molecular Biology 18 13%
Arts and Humanities 2 1%
Social Sciences 2 1%
Engineering 2 1%
Other 6 4%
Unknown 21 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 September 2011.
All research outputs
#18,295,723
of 22,651,245 outputs
Outputs from BMC Genomics
#8,136
of 10,605 outputs
Outputs of similar age
#108,705
of 130,596 outputs
Outputs of similar age from BMC Genomics
#76
of 91 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,605 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 130,596 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.