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Sequencing and characterization of the transcriptome of half-smooth tongue sole (Cynoglossus semilaevis)

Overview of attention for article published in BMC Genomics, June 2014
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2 X users

Citations

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Title
Sequencing and characterization of the transcriptome of half-smooth tongue sole (Cynoglossus semilaevis)
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-470
Pubmed ID
Authors

Wenji Wang, Qilin Yi, Liman Ma, Xiaosu Zhou, Haitao Zhao, Xubo Wang, Jie Qi, Haiyang Yu, Zhigang Wang, Quanqi Zhang

Abstract

Half-smooth tongue sole (Cynoglossus semilaevis) is a valuable fish for aquaculture in China. This fish exhibits sexual dimorphism, particularly different growth rates and body sizes between two genders. Thus, C. semilaevis is a good model that can be used to investigate mechanisms responsible for such dimorphism, this model can also be utilized to answer fundamental questions in evolution and applied fields of aquaculture. Hence, advances in second-generation sequencing technology, such as 454 pyrosequencing, could provide a robust tool to study the genome characteristics of non-model species.

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X Demographics

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

Geographical breakdown

Country Count As %
Sweden 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Ph. D. Student 9 23%
Student > Master 6 15%
Professor > Associate Professor 3 8%
Other 2 5%
Other 2 5%
Unknown 8 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 54%
Unspecified 1 3%
Environmental Science 1 3%
Nursing and Health Professions 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 5%
Unknown 12 31%
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 16 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from BMC Genomics
#8,165
of 10,637 outputs
Outputs of similar age
#164,050
of 228,650 outputs
Outputs of similar age from BMC Genomics
#133
of 204 outputs
Altmetric has tracked 22,757,090 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 10,637 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 228,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 204 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.