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QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativaL.)

Overview of attention for article published in BMC Plant Biology, August 2012
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1 X user
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1 Facebook page

Citations

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77 Dimensions

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93 Mendeley
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Title
QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativaL.)
Published in
BMC Plant Biology, August 2012
DOI 10.1186/1471-2229-12-137
Pubmed ID
Authors

Balram Marathi, Smriti Guleria, Trilochan Mohapatra, Rajender Parsad, Nagarajan Mariappan, Vinod Kunnummal Kurungara, Salwandir Singh Atwal, Kumble Vinod Prabhu, Nagendra Kumar Singh, Ashok Kumar Singh

Abstract

Rice is staple food for more than half of the world's population including two billion Asians, who obtain 60-70% of their energy intake from rice and its derivatives. To meet the growing demand from human population, rice varieties with higher yield potential and greater yield stability need to be developed. The favourable alleles for yield and yield contributing traits are distributed among two subspecies i.e., indica and japonica of cultivated rice (Oryza sativa L.). Identification of novel favourable alleles in indica/japonica will pave way to marker-assisted mobilization of these alleles in to a genetic background to break genetic barriers to yield.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
India 2 2%
Philippines 1 1%
Benin 1 1%
Brazil 1 1%
Unknown 88 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 28%
Researcher 23 25%
Student > Master 10 11%
Student > Doctoral Student 6 6%
Student > Bachelor 4 4%
Other 6 6%
Unknown 18 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 68%
Biochemistry, Genetics and Molecular Biology 7 8%
Environmental Science 2 2%
Unspecified 1 1%
Business, Management and Accounting 1 1%
Other 1 1%
Unknown 18 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 August 2013.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from BMC Plant Biology
#1,415
of 3,588 outputs
Outputs of similar age
#119,595
of 184,945 outputs
Outputs of similar age from BMC Plant Biology
#16
of 27 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,588 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 184,945 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.