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Attention Score in Context
Chapter title |
Chromosome and Genomic Engineering in Plants
|
---|---|
Chapter number | 12 |
Book title |
Chromosome and Genomic Engineering in Plants
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-4931-1_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-4929-8, 978-1-4939-4931-1
|
Authors |
Cápal, Petr, Vrána, Jan, Kubaláková, Marie, Endo, Takashi R, Doležel, Jaroslav, Petr Cápal, Jan Vrána, Marie Kubaláková, Takashi R. Endo, Jaroslav Doležel |
Abstract |
Flow cytometry enables chromosomes to be sorted into different groups based on their characteristics, such as relative DNA content and the presence of repetitive DNA sequences. Despite the recent progress in the analysis of plant genome organization and chromosome structure, there is a need for easy methods to assign DNA sequences to individual chromosomes. Here, we describe an easy way to allocate genes or DNA sequences to chromosomes in wheat using flow-sorted chromosomes combined with fluorescence in situ hybridization and PCR analyses. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 33% |
Student > Postgraduate | 1 | 33% |
Student > Doctoral Student | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 67% |
Biochemistry, Genetics and Molecular Biology | 1 | 33% |
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 30 December 2017.
All research outputs
#15,381,416
of 22,883,326 outputs
Outputs from Methods in molecular biology
#5,350
of 13,131 outputs
Outputs of similar age
#230,981
of 393,702 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,471 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 393,702 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.