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Mendeley readers
Attention Score in Context
Title |
Transposon fingerprinting using low coverage whole genome shotgun sequencing in Cacao (Theobroma cacao L.) and related species
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Published in |
BMC Genomics, July 2013
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DOI | 10.1186/1471-2164-14-502 |
Pubmed ID | |
Authors |
Saemundur Sveinsson, Navdeep Gill, Nolan C Kane, Quentin Cronk |
Abstract |
Transposable elements (TEs) and other repetitive elements are a large and dynamically evolving part of eukaryotic genomes, especially in plants where they can account for a significant proportion of genome size. Their dynamic nature gives them the potential for use in identifying and characterizing crop germplasm. However, their repetitive nature makes them challenging to study using conventional methods of molecular biology. Next generation sequencing and new computational tools have greatly facilitated the investigation of TE variation within species and among closely related species. |
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 % |
---|---|---|
Canada | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 2% |
Netherlands | 2 | 2% |
Brazil | 2 | 2% |
Czechia | 2 | 2% |
France | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Other | 0 | 0% |
Unknown | 93 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 20% |
Student > Ph. D. Student | 18 | 17% |
Student > Master | 14 | 13% |
Lecturer | 8 | 8% |
Student > Bachelor | 8 | 8% |
Other | 21 | 20% |
Unknown | 16 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 57 | 54% |
Biochemistry, Genetics and Molecular Biology | 19 | 18% |
Computer Science | 3 | 3% |
Immunology and Microbiology | 3 | 3% |
Economics, Econometrics and Finance | 1 | <1% |
Other | 4 | 4% |
Unknown | 19 | 18% |
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 13 July 2014.
All research outputs
#19,962,154
of 25,394,764 outputs
Outputs from BMC Genomics
#8,142
of 11,250 outputs
Outputs of similar age
#152,715
of 209,645 outputs
Outputs of similar age from BMC Genomics
#120
of 179 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,250 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 22nd percentile – i.e., 22% 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 209,645 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.