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De novo transcriptome analysis of Hevea brasiliensistissues by RNA-seq and screening for molecular markers

Overview of attention for article published in BMC Genomics, March 2014
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1 X user

Citations

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Title
De novo transcriptome analysis of Hevea brasiliensistissues by RNA-seq and screening for molecular markers
Published in
BMC Genomics, March 2014
DOI 10.1186/1471-2164-15-236
Pubmed ID
Authors

Leonardo Rippel Salgado, Daniela Martins Koop, Daniel Guariz Pinheiro, Ronan Rivallan, Vincent Le Guen, Marisa Fabiana Nicolás, Luiz Gonzaga Paula de Almeida, Viviani Ribeiro Rocha, Milena Magalhães, Alexandra Lehmkuhl Gerber, Antonio Figueira, Júlio Cézar de Mattos Cascardo, AnaTereza Ribeiro de Vasconcelos, Wilson Araújo Silva, Luiz Lehmann Coutinho, Dominique Garcia

Abstract

The rubber tree, Hevea brasiliensis, is a species native to the Brazilian Amazon region and it supplies almost all the world's natural rubber, a strategic raw material for a variety of products. One of the major challenges for developing rubber tree plantations is adapting the plant to biotic and abiotic stress. Transcriptome analysis is one of the main approaches for identifying the complete set of active genes in a cell or tissue for a specific developmental stage or physiological condition.

X Demographics

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

Geographical breakdown

Country Count As %
Brazil 3 3%
Germany 1 <1%
Netherlands 1 <1%
India 1 <1%
Argentina 1 <1%
Spain 1 <1%
Japan 1 <1%
Unknown 96 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 18%
Researcher 19 18%
Student > Master 16 15%
Student > Bachelor 8 8%
Student > Doctoral Student 6 6%
Other 23 22%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 52%
Biochemistry, Genetics and Molecular Biology 18 17%
Environmental Science 2 2%
Psychology 2 2%
Computer Science 2 2%
Other 8 8%
Unknown 18 17%
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 26 March 2014.
All research outputs
#19,017,658
of 23,577,654 outputs
Outputs from BMC Genomics
#8,327
of 10,787 outputs
Outputs of similar age
#164,371
of 226,174 outputs
Outputs of similar age from BMC Genomics
#110
of 158 outputs
Altmetric has tracked 23,577,654 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 10,787 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 226,174 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.