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De Novo characterization of the banana root transcriptome and analysis of gene expression under Fusarium oxysporum f. sp. Cubense tropical race 4 infection

Overview of attention for article published in BMC Genomics, November 2012
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Citations

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74 Dimensions

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134 Mendeley
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Title
De Novo characterization of the banana root transcriptome and analysis of gene expression under Fusarium oxysporum f. sp. Cubense tropical race 4 infection
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-650
Pubmed ID
Authors

Zhuo Wang, JianBin Zhang, CaiHong Jia, JuHua Liu, YanQiang Li, XiaoMin Yin, BiYu Xu, ZhiQiang Jin

Abstract

Bananas and plantains (Musa spp.) are among the most important crops in the world due to their nutritional and export value. However, banana production has been devastated by fungal infestations caused by Fusarium oxysporum f. sp. cubense (Foc), which cannot be effectively prevented or controlled. Since there is very little known about the molecular mechanism of Foc infections; therefore, we aimed to investigate the transcriptional changes induced by Foc in banana roots.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ethiopia 1 <1%
United States 1 <1%
Unknown 132 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 20%
Student > Ph. D. Student 26 19%
Student > Master 22 16%
Student > Postgraduate 9 7%
Student > Bachelor 8 6%
Other 20 15%
Unknown 22 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 64%
Biochemistry, Genetics and Molecular Biology 13 10%
Computer Science 2 1%
Earth and Planetary Sciences 2 1%
Immunology and Microbiology 1 <1%
Other 3 2%
Unknown 27 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 November 2012.
All research outputs
#14,376,243
of 23,023,224 outputs
Outputs from BMC Genomics
#5,730
of 10,699 outputs
Outputs of similar age
#166,543
of 277,612 outputs
Outputs of similar age from BMC Genomics
#216
of 381 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,699 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 277,612 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 381 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.