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Multiple major QTL lead to stable yield performance of rice cultivars across varying drought intensities

Overview of attention for article published in BMC Genetics, January 2014
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Title
Multiple major QTL lead to stable yield performance of rice cultivars across varying drought intensities
Published in
BMC Genetics, January 2014
DOI 10.1186/1471-2156-15-16
Pubmed ID
Authors

Shalabh Dixit, Anshuman Singh, Ma Sta Cruz, Paul T Maturan, Modesto Amante, Arvind Kumar

Abstract

Availability of irrigation water is becoming a major limiting factor in rice cultivation. Production in rainfed areas is affected in particular by drought events, as these areas are commonly planted to high-yielding drought-susceptible rice (Oryza sativa L.) varieties. The use of bulk segregant analysis (BSA), taking grain yield (GY) as a selection criterion, has resulted in the identification of several large-effect QTL. A QTL mapping study was undertaken on a BC1F3:4 population developed from the cross IR55419-04/2*TDK1 with the aim of identifying large-effect QTL in the background of TDK1, a popular variety from Lao PDR.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Philippines 1 1%
Netherlands 1 1%
United States 1 1%
Benin 1 1%
Unknown 72 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 33%
Researcher 12 16%
Student > Master 8 11%
Professor > Associate Professor 6 8%
Student > Doctoral Student 5 7%
Other 12 16%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 67%
Biochemistry, Genetics and Molecular Biology 7 9%
Environmental Science 2 3%
Computer Science 1 1%
Physics and Astronomy 1 1%
Other 2 3%
Unknown 12 16%

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 04 February 2014.
All research outputs
#7,135,205
of 8,249,522 outputs
Outputs from BMC Genetics
#560
of 702 outputs
Outputs of similar age
#159,214
of 195,009 outputs
Outputs of similar age from BMC Genetics
#15
of 19 outputs
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So far Altmetric has tracked 702 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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