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Mendeley readers
Attention Score in Context
| Title |
Structural variations in plant genomes
|
|---|---|
| Published in |
Briefings in Functional Genomics, June 2014
|
| DOI | 10.1093/bfgp/elu016 |
| Pubmed ID | |
| Authors |
Rachit K. Saxena, David Edwards, Rajeev K. Varshney |
| Abstract |
Differences between plant genomes range from single nucleotide polymorphisms to large-scale duplications, deletions and rearrangements. The large polymorphisms are termed structural variants (SVs). SVs have received significant attention in human genetics and were found to be responsible for various chronic diseases. However, little effort has been directed towards understanding the role of SVs in plants. Many recent advances in plant genetics have resulted from improvements in high-resolution technologies for measuring SVs, including microarray-based techniques, and more recently, high-throughput DNA sequencing. In this review we describe recent reports of SV in plants and describe the genomic technologies currently used to measure these SVs. |
Mendeley readers
The data shown below were compiled from readership statistics for 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| Italy | 1 | <1% |
| Uruguay | 1 | <1% |
| Indonesia | 1 | <1% |
| Chile | 1 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Australia | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 295 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 71 | 23% |
| Researcher | 68 | 22% |
| Student > Master | 36 | 12% |
| Student > Bachelor | 24 | 8% |
| Student > Doctoral Student | 17 | 5% |
| Other | 45 | 15% |
| Unknown | 49 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 179 | 58% |
| Biochemistry, Genetics and Molecular Biology | 44 | 14% |
| Computer Science | 12 | 4% |
| Environmental Science | 2 | <1% |
| Mathematics | 2 | <1% |
| Other | 6 | 2% |
| Unknown | 65 | 21% |
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 23 October 2014.
All research outputs
#20,231,392
of 22,757,090 outputs
Outputs from Briefings in Functional Genomics
#411
of 444 outputs
Outputs of similar age
#193,518
of 228,641 outputs
Outputs of similar age from Briefings in Functional Genomics
#12
of 13 outputs
Altmetric has tracked 22,757,090 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 444 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 228,641 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 13 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.