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Repeat-encoded poly-Q tracts show statistical commonalities across species

Overview of attention for article published in BMC Genomics, February 2013
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Mentioned by

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3 tweeters

Citations

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6 Dimensions

Readers on

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27 Mendeley
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Title
Repeat-encoded poly-Q tracts show statistical commonalities across species
Published in
BMC Genomics, February 2013
DOI 10.1186/1471-2164-14-76
Pubmed ID
Authors

Kai Willadsen, Minh Duc Cao, Janet Wiles, Sureshkumar Balasubramanian, Mikael Bodén

Abstract

Among repetitive genomic sequence, the class of tri-nucleotide repeats has received much attention due to their association with human diseases. Tri-nucleotide repeat diseases are caused by excessive sequence length variability; diseases such as Huntington's disease and Fragile X syndrome are tied to an increase in the number of repeat units in a tract. Motivated by the recent discovery of a tri-nucleotide repeat associated genetic defect in Arabidopsis thaliana, this study takes a cross-species approach to investigating these repeat tracts, with the goal of using commonalities between species to identify potential disease-related properties.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 7%
Canada 1 4%
Norway 1 4%
Unknown 23 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 30%
Student > Ph. D. Student 5 19%
Student > Master 3 11%
Student > Bachelor 2 7%
Professor 2 7%
Other 6 22%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 48%
Biochemistry, Genetics and Molecular Biology 5 19%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Computer Science 1 4%
Immunology and Microbiology 1 4%
Other 4 15%
Unknown 1 4%

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 22 October 2013.
All research outputs
#7,762,700
of 12,373,620 outputs
Outputs from BMC Genomics
#4,638
of 7,313 outputs
Outputs of similar age
#141,130
of 260,085 outputs
Outputs of similar age from BMC Genomics
#352
of 616 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 28th percentile – i.e., 28% 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 260,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 616 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.