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Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics

Overview of attention for article published in BMC Medical Genomics, June 2014
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Title
Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics
Published in
BMC Medical Genomics, June 2014
DOI 10.1186/1755-8794-7-39
Pubmed ID
Authors

Christina A Markunas, Eric Lock, Karen Soldano, Heidi Cope, Chien-Kuang C Ding, David S Enterline, Gerald Grant, Herbert Fuchs, Allison E Ashley-Koch, Simon G Gregory

Abstract

Chiari Type I Malformation (CMI) is characterized by herniation of the cerebellar tonsils through the foramen magnum at the base of the skull, resulting in significant neurologic morbidity. As CMI patients display a high degree of clinical variability and multiple mechanisms have been proposed for tonsillar herniation, it is hypothesized that this heterogeneous disorder is due to multiple genetic and environmental factors. The purpose of the present study was to gain a better understanding of what factors contribute to this heterogeneity by using an unsupervised statistical approach to define disease subtypes within a case-only pediatric population.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 17%
Researcher 5 17%
Student > Doctoral Student 4 14%
Student > Bachelor 4 14%
Student > Ph. D. Student 3 10%
Other 5 17%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 8 28%
Neuroscience 5 17%
Biochemistry, Genetics and Molecular Biology 4 14%
Agricultural and Biological Sciences 3 10%
Mathematics 2 7%
Other 3 10%
Unknown 4 14%

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 02 February 2016.
All research outputs
#10,631,421
of 13,359,553 outputs
Outputs from BMC Medical Genomics
#519
of 674 outputs
Outputs of similar age
#125,785
of 188,419 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 12 outputs
Altmetric has tracked 13,359,553 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% 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 188,419 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.