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Analysis of root proteome unravels differential molecular responses during compatible and incompatible interaction between chickpea (Cicer arietinum L.) and Fusarium oxysporum f. sp. ciceri Race1 (Foc1…

Overview of attention for article published in BMC Genomics, November 2014
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2 tweeters

Citations

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72 Mendeley
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Title
Analysis of root proteome unravels differential molecular responses during compatible and incompatible interaction between chickpea (Cicer arietinum L.) and Fusarium oxysporum f. sp. ciceri Race1 (Foc1)
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-949
Pubmed ID
Authors

Moniya Chatterjee, Sumanti Gupta, Anirban Bhar, Dipankar Chakraborti, Debabrata Basu, Sampa Das

Abstract

Vascular wilt caused by Fusarium oxysporum f. sp. ciceri Race 1 (Foc1) is a serious disease of chickpea (Cicer arietinum L.) accounting for approximately 10-15% annual crop loss. The fungus invades the plant via roots, colonizes the xylem vessels and prevents the upward translocation of water and nutrients, finally resulting in wilting of the entire plant. Although comparative transcriptomic profiling have highlighted some important signaling molecules, but proteomic studies involving chickpea-Foc1 are limited. The present study focuses on comparative root proteomics of susceptible (JG62) and resistant (WR315) chickpea genotypes infected with Foc1, to understand the mechanistic basis of susceptibility and/or resistance.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Ph. D. Student 13 18%
Student > Postgraduate 8 11%
Student > Master 7 10%
Professor > Associate Professor 5 7%
Other 14 19%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 54%
Biochemistry, Genetics and Molecular Biology 11 15%
Engineering 2 3%
Computer Science 2 3%
Environmental Science 1 1%
Other 2 3%
Unknown 15 21%

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 07 July 2015.
All research outputs
#6,627,454
of 8,702,492 outputs
Outputs from BMC Genomics
#4,725
of 6,083 outputs
Outputs of similar age
#136,022
of 205,367 outputs
Outputs of similar age from BMC Genomics
#275
of 339 outputs
Altmetric has tracked 8,702,492 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,083 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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