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Next generation sequencing analysis reveals a relationship between rDNA unit diversity and locus number in Nicotiana diploids

Overview of attention for article published in BMC Genomics, December 2012
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Title
Next generation sequencing analysis reveals a relationship between rDNA unit diversity and locus number in Nicotiana diploids
Published in
BMC Genomics, December 2012
DOI 10.1186/1471-2164-13-722
Pubmed ID
Authors

Roman Matyášek, Simon Renny-Byfield, Jaroslav Fulneček, Jiří Macas, Marie-Angele Grandbastien, Richard Nichols, Andrew Leitch, Aleš Kovařík

Abstract

Tandemly arranged nuclear ribosomal DNA (rDNA), encoding 18S, 5.8S and 26S ribosomal RNA (rRNA), exhibit concerted evolution, a pattern thought to result from the homogenisation of rDNA arrays. However rDNA homogeneity at the single nucleotide polymorphism (SNP) level has not been detailed in organisms with more than a few hundred copies of the rDNA unit. Here we study rDNA complexity in species with arrays consisting of thousands of units.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Australia 2 3%
Czechia 1 2%
United Kingdom 1 2%
Spain 1 2%
United States 1 2%
Unknown 55 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 30%
Student > Ph. D. Student 12 19%
Student > Master 4 6%
Student > Doctoral Student 3 5%
Professor > Associate Professor 3 5%
Other 5 8%
Unknown 17 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 52%
Biochemistry, Genetics and Molecular Biology 9 14%
Nursing and Health Professions 1 2%
Psychology 1 2%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 18 29%
Attention Score in Context

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 26 December 2012.
All research outputs
#17,673,866
of 22,691,736 outputs
Outputs from BMC Genomics
#7,527
of 10,617 outputs
Outputs of similar age
#210,019
of 280,457 outputs
Outputs of similar age from BMC Genomics
#276
of 382 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,617 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 280,457 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.