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The Prediction of a New CLCuD Epidemic in the Old World

Overview of attention for article published in Frontiers in Microbiology, April 2017
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Title
The Prediction of a New CLCuD Epidemic in the Old World
Published in
Frontiers in Microbiology, April 2017
DOI 10.3389/fmicb.2017.00631
Pubmed ID
Authors

Muhammad N. Sattar, Zafar Iqbal, Muhammad N. Tahir, Sami Ullah

Abstract

Cotton leaf curl disease (CLCuD), the most complex disease of cotton, is a major limiting biotic factor to worldwide cotton productivity. Several whitefly-transmitted monopartite begomoviruses causing CLCuD have been characterized and designated as CLCuD-associated begomoviruses. Despite of being reported over 100 years ago in Africa, CLCuD became economically pandemic causing massive losses to cotton production in Pakistan and India during past couple of decades. In Asia, cotton has faced two major epidemics during this period viz. "Multan epidemic" and "Burewala epidemic." The "Multan epidemic" era was 1988-1999 after which the virus remained calm until 2002 when "Burewala epidemic" broke into the cotton fields in Indo-Pak subcontinent, till 2013-2014. However, both the epidemics were caused by monopartite begomovirus complex. Similarly in Africa, Cotton leaf curl Gezira virus with associated DNA-satellites causes CLCuD. Quite recently, in the Old World (both Asia and Africa), bipartite begomoviruses have started appearing in the areas under cotton cultivation. Under such aggravated circumstances, it seems we are heading toward another epidemic of CLCuD in the Old World. Here we articulate the causes and potential emergence of the third epidemic of CLCuD in Asia. The current situation of CLCuD in Asia and Africa is also discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 12%
Student > Doctoral Student 4 12%
Student > Postgraduate 3 9%
Student > Master 3 9%
Other 2 6%
Other 6 18%
Unknown 11 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 45%
Biochemistry, Genetics and Molecular Biology 2 6%
Mathematics 1 3%
Environmental Science 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 12 36%
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 14 June 2017.
All research outputs
#16,699,002
of 24,561,012 outputs
Outputs from Frontiers in Microbiology
#17,209
of 27,894 outputs
Outputs of similar age
#199,774
of 314,772 outputs
Outputs of similar age from Frontiers in Microbiology
#362
of 506 outputs
Altmetric has tracked 24,561,012 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,894 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 30th percentile – i.e., 30% 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 314,772 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 506 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.