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Genomic disorders ten years on

Overview of attention for article published in Genome Medicine, April 2009
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Citations

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Title
Genomic disorders ten years on
Published in
Genome Medicine, April 2009
DOI 10.1186/gm42
Pubmed ID
Authors

James R Lupski

Abstract

It is now becoming generally accepted that a significant amount of human genetic variation is due to structural changes of the genome rather than to base-pair changes in the DNA. As for base-pair changes, knowledge of gene and genome function has been informed by structural alterations that convey clinical phenotypes. Genomic disorders are a class of human conditions that result from structural changes of the human genome that convey traits or susceptibility to traits. The path to the delineation of genomic disorders is intertwined with the evolving technologies that have enabled the resolution of human genome analyses to continue increasing. Similarly, the ability to perform high-resolution human genome analysis has fueled the current and future clinical implementation of such discoveries in the evolving field of genome medicine.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 2 2%
Italy 2 2%
United Kingdom 1 <1%
Brazil 1 <1%
Iceland 1 <1%
Philippines 1 <1%
Unknown 111 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 23%
Student > Ph. D. Student 21 17%
Student > Master 15 12%
Other 11 9%
Student > Bachelor 11 9%
Other 24 20%
Unknown 13 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 45%
Biochemistry, Genetics and Molecular Biology 24 20%
Medicine and Dentistry 14 11%
Psychology 4 3%
Neuroscience 2 2%
Other 8 7%
Unknown 16 13%
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 05 October 2012.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Genome Medicine
#1,448
of 1,585 outputs
Outputs of similar age
#90,965
of 106,345 outputs
Outputs of similar age from Genome Medicine
#10
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 5th percentile – i.e., 5% 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 106,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.