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Attention Score in Context
Title |
Detection and validation of stay-green QTL in post-rainy sorghum involving widely adapted cultivar, M35-1 and a popular stay-green genotype B35
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Published in |
BMC Genomics, October 2014
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DOI | 10.1186/1471-2164-15-909 |
Pubmed ID | |
Authors |
Nagaraja Reddy Rama Reddy, Madhusudhana Ragimasalawada, Murali Mohan Sabbavarapu, Seetharama Nadoor, Jagannatha Vishnu Patil |
Abstract |
Sorghum [Sorghum bicolor (L.) Moench] is an important dry-land cereal of the world providing food, fodder, feed and fuel. Stay-green (delayed-leaf senescence) is a key attribute in sorghum determining its adaptation to terminal drought stress. The objective of this study was to validate sorghum stay-green quantitative trait loci (QTL) identified in the past, and to identify new QTL in the genetic background of a post-rainy adapted genotype M35-1. |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
Unknown | 104 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 18% |
Student > Ph. D. Student | 17 | 16% |
Student > Master | 17 | 16% |
Student > Doctoral Student | 7 | 7% |
Student > Bachelor | 4 | 4% |
Other | 9 | 9% |
Unknown | 32 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 59 | 56% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Veterinary Science and Veterinary Medicine | 1 | <1% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | <1% |
Earth and Planetary Sciences | 1 | <1% |
Other | 2 | 2% |
Unknown | 34 | 32% |
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 November 2014.
All research outputs
#20,242,136
of 22,769,322 outputs
Outputs from BMC Genomics
#9,265
of 10,639 outputs
Outputs of similar age
#215,757
of 258,575 outputs
Outputs of similar age from BMC Genomics
#187
of 205 outputs
Altmetric has tracked 22,769,322 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 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. 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 258,575 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 205 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.