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X Demographics
Mendeley readers
Attention Score in Context
Title |
De Novo Assembly of the Perennial Ryegrass Transcriptome Using an RNA-Seq Strategy
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Published in |
PLOS ONE, August 2014
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DOI | 10.1371/journal.pone.0103567 |
Pubmed ID | |
Authors |
Jacqueline D. Farrell, Stephen Byrne, Cristiana Paina, Torben Asp |
Abstract |
Perennial ryegrass is a highly heterozygous outbreeding grass species used for turf and forage production. Heterozygosity can affect de-Bruijn graph assembly making de novo transcriptome assembly of species such as perennial ryegrass challenging. Creating a reference transcriptome from a homozygous perennial ryegrass genotype can circumvent the challenge of heterozygosity. The goals of this study were to perform RNA-sequencing on multiple tissues from a highly inbred genotype to develop a reference transcriptome. This was complemented with RNA-sequencing of a highly heterozygous genotype for SNP calling. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 25% |
India | 1 | 13% |
France | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Scientists | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 1 | 1% |
Brazil | 1 | 1% |
Canada | 1 | 1% |
New Zealand | 1 | 1% |
Belgium | 1 | 1% |
Spain | 1 | 1% |
Unknown | 69 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 25% |
Researcher | 16 | 21% |
Student > Master | 14 | 19% |
Student > Postgraduate | 6 | 8% |
Student > Doctoral Student | 5 | 7% |
Other | 7 | 9% |
Unknown | 8 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 50 | 67% |
Biochemistry, Genetics and Molecular Biology | 14 | 19% |
Environmental Science | 1 | 1% |
Nursing and Health Professions | 1 | 1% |
Medicine and Dentistry | 1 | 1% |
Other | 0 | 0% |
Unknown | 8 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 11 September 2014.
All research outputs
#6,135,553
of 22,760,687 outputs
Outputs from PLOS ONE
#73,390
of 194,199 outputs
Outputs of similar age
#58,011
of 230,675 outputs
Outputs of similar age from PLOS ONE
#1,408
of 4,741 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 194,199 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 230,675 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 4,741 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.