You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Advances in Identification and Mapping of Rust Resistance Genes in Wheat
|
---|---|
Chapter number | 13 |
Book title |
Wheat Rust Diseases
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7249-4_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7248-7, 978-1-4939-7249-4
|
Authors |
Urmil Bansal, Harbans Bariana, Bansal, Urmil, Bariana, Harbans |
Abstract |
Genetic characterisation of new rust resistance loci in wheat using cytogenetic/low-throughput genotyping systems required at least 5 years. Development of next-generation sequencing (NGS) based molecular marker genotyping platforms in the last decade has provided scientists with the genomic resources to expedite precise mapping of target loci. Here, we describe methodologies for genetic analysis and application of NGS-based resources to determine the precise genomic locations of rust resistance loci in wheat and development of closely linked markers for marker assisted selection. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 50% |
Student > Bachelor | 1 | 17% |
Researcher | 1 | 17% |
Student > Master | 1 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 50% |
Agricultural and Biological Sciences | 2 | 33% |
Economics, Econometrics and Finance | 1 | 17% |
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 08 May 2018.
All research outputs
#20,446,373
of 23,001,641 outputs
Outputs from Methods in molecular biology
#9,934
of 13,154 outputs
Outputs of similar age
#356,137
of 421,214 outputs
Outputs of similar age from Methods in molecular biology
#842
of 1,074 outputs
Altmetric has tracked 23,001,641 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 13,154 research outputs from this source. They receive a mean Attention Score of 3.4. 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 421,214 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 1,074 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.