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Transcriptome sequencing and whole genome expression profiling of chrysanthemum under dehydration stress

Overview of attention for article published in BMC Genomics, September 2013
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Title
Transcriptome sequencing and whole genome expression profiling of chrysanthemum under dehydration stress
Published in
BMC Genomics, September 2013
DOI 10.1186/1471-2164-14-662
Pubmed ID
Authors

Yanjie Xu, Shan Gao, Yingjie Yang, Mingyun Huang, Lina Cheng, Qian Wei, Zhangjun Fei, Junping Gao, Bo Hong

Abstract

Chrysanthemum is one of the most important ornamental crops in the world and drought stress seriously limits its production and distribution. In order to generate a functional genomics resource and obtain a deeper understanding of the molecular mechanisms regarding chrysanthemum responses to dehydration stress, we performed large-scale transcriptome sequencing of chrysanthemum plants under dehydration stress using the Illumina sequencing technology.

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

Geographical breakdown

Country Count As %
Netherlands 2 2%
Germany 1 <1%
Uruguay 1 <1%
South Africa 1 <1%
India 1 <1%
Unknown 98 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 27%
Researcher 22 21%
Student > Master 16 15%
Student > Bachelor 5 5%
Student > Postgraduate 5 5%
Other 10 10%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 58%
Biochemistry, Genetics and Molecular Biology 16 15%
Immunology and Microbiology 2 2%
Environmental Science 1 <1%
Business, Management and Accounting 1 <1%
Other 3 3%
Unknown 21 20%
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 04 October 2013.
All research outputs
#18,349,805
of 22,725,280 outputs
Outputs from BMC Genomics
#8,158
of 10,628 outputs
Outputs of similar age
#152,583
of 204,835 outputs
Outputs of similar age from BMC Genomics
#93
of 146 outputs
Altmetric has tracked 22,725,280 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 10,628 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 204,835 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.