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Transcriptome profiling of Gossypium barbadense inoculated with Verticillium dahliae provides a resource for cotton improvement

Overview of attention for article published in BMC Genomics, September 2013
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Title
Transcriptome profiling of Gossypium barbadense inoculated with Verticillium dahliae provides a resource for cotton improvement
Published in
BMC Genomics, September 2013
DOI 10.1186/1471-2164-14-637
Pubmed ID
Authors

Yan Zhang, Xing Fen Wang, Ze Guo Ding, Qing Ma, Gui Rong Zhang, Shu Ling Zhang, Zhi Kun Li, Li Qiang Wu, Gui Yin Zhang, Zhi Ying Ma

Abstract

Verticillium wilt, caused by the fungal pathogen Verticillium dahliae, is the most severe disease in cotton (Gossypium spp.), causing great lint losses worldwide. Disease management could be achieved in the field if genetically improved, resistant plants were used. However, the interaction between V. dahliae and cotton is a complicated process, and its molecular mechanism remains obscure. To understand better the defense response to this pathogen as a means for obtaining more tolerant cultivars, we monitored the transcriptome profiles of roots from resistant plants of G. barbadense cv. Pima90-53 that were challenged with V. dahliae.

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

Geographical breakdown

Country Count As %
Spain 1 2%
Saudi Arabia 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 33%
Student > Ph. D. Student 14 25%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Student > Postgraduate 3 5%
Other 2 4%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 62%
Biochemistry, Genetics and Molecular Biology 10 18%
Computer Science 1 2%
Medicine and Dentistry 1 2%
Unknown 9 16%
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 11 November 2014.
All research outputs
#20,242,779
of 22,770,070 outputs
Outputs from BMC Genomics
#9,265
of 10,639 outputs
Outputs of similar age
#177,083
of 202,365 outputs
Outputs of similar age from BMC Genomics
#114
of 145 outputs
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So far Altmetric has tracked 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.