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Dosage-sensitive genes in evolution and disease

Overview of attention for article published in BMC Biology, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
14 tweeters

Citations

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61 Dimensions

Readers on

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150 Mendeley
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Title
Dosage-sensitive genes in evolution and disease
Published in
BMC Biology, September 2017
DOI 10.1186/s12915-017-0418-y
Pubmed ID
Authors

Alan M. Rice, Aoife McLysaght

Abstract

For a subset of genes in our genome a change in gene dosage, by duplication or deletion, causes a phenotypic effect. These dosage-sensitive genes may confer an advantage upon copy number change, but more typically they are associated with disease, including heart disease, cancers and neuropsychiatric disorders. This gene copy number sensitivity creates characteristic evolutionary constraints that can serve as a diagnostic to identify dosage-sensitive genes. Though the link between copy number change and disease is well-established, the mechanism of pathogenicity is usually opaque. We propose that gene expression level may provide a common basis for the pathogenic effects of many copy number variants.

Twitter Demographics

The data shown below were collected from the profiles of 14 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 150 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 23%
Student > Bachelor 25 17%
Researcher 22 15%
Student > Master 14 9%
Student > Doctoral Student 7 5%
Other 14 9%
Unknown 33 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 59 39%
Agricultural and Biological Sciences 32 21%
Medicine and Dentistry 9 6%
Neuroscience 5 3%
Nursing and Health Professions 3 2%
Other 10 7%
Unknown 32 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 July 2019.
All research outputs
#3,577,640
of 20,115,055 outputs
Outputs from BMC Biology
#895
of 1,721 outputs
Outputs of similar age
#65,994
of 286,973 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 20,115,055 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one is in the 47th percentile – i.e., 47% 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 286,973 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them