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Mendeley readers
Attention Score in Context
Title |
Analysis and annotation of the hexaploid oat seed transcriptome
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Published in |
BMC Genomics, July 2013
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DOI | 10.1186/1471-2164-14-471 |
Pubmed ID | |
Authors |
Juan J Gutierrez-Gonzalez, Zheng Jin Tu, David F Garvin |
Abstract |
Next generation sequencing provides new opportunities to explore transcriptomes. However, challenges remain for accurate differentiation of homoeoalleles and paralogs, particularly in polyploid organisms with no supporting genome sequence. In this study, RNA-Seq was employed to generate and characterize the first gene expression atlas for hexaploid oat. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Germany | 1 | 1% |
Sweden | 1 | 1% |
Netherlands | 1 | 1% |
Paraguay | 1 | 1% |
South Africa | 1 | 1% |
Unknown | 82 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 22% |
Researcher | 15 | 17% |
Student > Bachelor | 11 | 12% |
Student > Master | 10 | 11% |
Professor > Associate Professor | 8 | 9% |
Other | 12 | 13% |
Unknown | 13 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 55 | 62% |
Biochemistry, Genetics and Molecular Biology | 11 | 12% |
Computer Science | 5 | 6% |
Engineering | 2 | 2% |
Chemistry | 1 | 1% |
Other | 0 | 0% |
Unknown | 15 | 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 02 August 2013.
All research outputs
#15,274,524
of 22,714,025 outputs
Outputs from BMC Genomics
#6,668
of 10,626 outputs
Outputs of similar age
#120,117
of 194,295 outputs
Outputs of similar age from BMC Genomics
#75
of 120 outputs
Altmetric has tracked 22,714,025 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 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 194,295 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.