↓ Skip to main content

Analysis of Litopenaeus vannamei Transcriptome Using the Next-Generation DNA Sequencing Technique

Overview of attention for article published in PLOS ONE, October 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
149 Dimensions

Readers on

mendeley
132 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Analysis of Litopenaeus vannamei Transcriptome Using the Next-Generation DNA Sequencing Technique
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047442
Pubmed ID
Authors

Chaozheng Li, Shaoping Weng, Yonggui Chen, Xiaoqiang Yu, Ling Lü, Haiqing Zhang, Jianguo He, Xiaopeng Xu

Abstract

Pacific white shrimp (Litopenaeus vannamei), the major species of farmed shrimps in the world, has been attracting extensive studies, which require more and more genome background knowledge. The now available transcriptome data of L. vannamei are insufficient for research requirements, and have not been adequately assembled and annotated.

X Demographics

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

Geographical breakdown

Country Count As %
Mexico 4 3%
Brazil 2 2%
South Africa 1 <1%
Unknown 125 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 22%
Student > Ph. D. Student 21 16%
Student > Master 17 13%
Student > Postgraduate 10 8%
Student > Bachelor 10 8%
Other 24 18%
Unknown 21 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 55%
Biochemistry, Genetics and Molecular Biology 21 16%
Environmental Science 3 2%
Engineering 3 2%
Computer Science 2 2%
Other 8 6%
Unknown 22 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 15 October 2012.
All research outputs
#2,559,833
of 22,681,577 outputs
Outputs from PLOS ONE
#32,362
of 193,576 outputs
Outputs of similar age
#18,295
of 172,686 outputs
Outputs of similar age from PLOS ONE
#607
of 4,570 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 83% 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 172,686 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 4,570 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.