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Progress and challenges for abiotic stress proteomics of crop plants

Overview of attention for article published in PROTEOMICS, July 2013
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Article details
Title
Progress and challenges for abiotic stress proteomics of crop plants
Published in
PROTEOMICS, July 2013
DOI 10.1002/pmic.201200401
Pubmed ID
Authors
Abstract

Plants are continually challenged to recognize and respond to adverse changes in their environment to avoid detrimental effects on growth and development. Understanding the mechanisms that crop plants employ to resist and tolerate abiotic stress is of considerable interest for designing agriculture breeding strategies to ensure sustainable productivity. The application of proteomics technologies to advance our knowledge in crop plant abiotic stress tolerance has increased dramatically in the past few years as evidenced by the large amount of publications in this area. This is attributed to advances in various technology platforms associated with MS-based techniques as well as the accessibility of proteomics units to a wider plant research community. This review summarizes the work which has been reported for major crop plants and evaluates the findings in context of the approaches that are widely employed with the aim to encourage broadening the strategies used to increase coverage of the proteome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 3%
Switzerland 1 <1%
Unknown 107 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 27%
Researcher 21 19%
Student > Master 9 8%
Student > Doctoral Student 8 7%
Student > Bachelor 8 7%
Other 18 16%
Unknown 17 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 59 53%
Biochemistry, Genetics and Molecular Biology 11 10%
Medicine and Dentistry 5 5%
Environmental Science 3 3%
Computer Science 3 3%
Other 9 8%
Unknown 21 19%
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 01 April 2013.
All research outputs
#24,634,598
of 27,372,766 outputs
Outputs from PROTEOMICS
#3,726
of 4,169 outputs
Outputs of similar age
#188,784
of 211,528 outputs
Outputs of similar age from PROTEOMICS
#35
of 42 outputs
Altmetric has tracked 27,372,766 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,169 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% 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 211,528 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 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.