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Genotype–phenotype correlation in Smith-Magenis syndrome: Evidence that multiple genes in 17p11.2 contribute to the clinical spectrum

Overview of attention for article published in Genetics in Medicine, July 2006
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
wikipedia
4 Wikipedia pages

Citations

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127 Dimensions

Readers on

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73 Mendeley
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Title
Genotype–phenotype correlation in Smith-Magenis syndrome: Evidence that multiple genes in 17p11.2 contribute to the clinical spectrum
Published in
Genetics in Medicine, July 2006
DOI 10.1097/01.gim.0000228215.32110.89
Pubmed ID
Authors

Santhosh Girirajan, Christopher N Vlangos, Barbara B Szomju, Emily Edelman, Christopher D Trevors, Lucie Dupuis, Marjan Nezarati, David J Bunyan, Sarah H Elsea

Abstract

Smith-Magenis syndrome (SMS) is a complex disorder that includes mental retardation, craniofacial and skeletal anomalies, and behavioral abnormalities. We report the molecular and genotype-phenotype analyses of 31 patients with SMS who carry 17p11.2 deletions or mutations in the RAI1 gene.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Italy 1 1%
Canada 1 1%
Unknown 69 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Other 8 11%
Student > Bachelor 8 11%
Student > Ph. D. Student 7 10%
Student > Master 7 10%
Other 15 21%
Unknown 13 18%
Readers by discipline Count As %
Medicine and Dentistry 22 30%
Agricultural and Biological Sciences 17 23%
Biochemistry, Genetics and Molecular Biology 10 14%
Nursing and Health Professions 3 4%
Psychology 2 3%
Other 6 8%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 November 2022.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from Genetics in Medicine
#1,870
of 2,943 outputs
Outputs of similar age
#27,013
of 88,131 outputs
Outputs of similar age from Genetics in Medicine
#9
of 17 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one is in the 35th percentile – i.e., 35% 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 88,131 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.