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Pathways systematically associated to Hirschsprung’s disease

Overview of attention for article published in Orphanet Journal of Rare Diseases, December 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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7 X users
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1 Google+ user

Citations

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Title
Pathways systematically associated to Hirschsprung’s disease
Published in
Orphanet Journal of Rare Diseases, December 2013
DOI 10.1186/1750-1172-8-187
Pubmed ID
Authors

Raquel M Fernández, Marta Bleda, Berta Luzón-Toro, Luz García-Alonso, Stacey Arnold, Yunia Sribudiani, Claude Besmond, Francesca Lantieri, Betty Doan, Isabella Ceccherini, Stanislas Lyonnet, Robert MW Hofstra, Aravinda Chakravarti, Guillermo Antiñolo, Joaquín Dopazo, Salud Borrego

Abstract

Despite it has been reported that several loci are involved in Hirschsprung's disease, the molecular basis of the disease remains yet essentially unknown. The study of collective properties of modules of functionally-related genes provides an efficient and sensitive statistical framework that can overcome sample size limitations in the study of rare diseases. Here, we present the extension of a previous study of a Spanish series of HSCR trios to an international cohort of 162 HSCR trios to validate the generality of the underlying functional basis of the Hirschsprung's disease mechanisms previously found. The Pathway-Based Analysis (PBA) confirms a strong association of gene ontology (GO) modules related to signal transduction and its regulation, enteric nervous system (ENS) formation and other processes related to the disease. In addition, network analysis recovers sub-networks significantly associated to the disease, which contain genes related to the same functionalities, thus providing an independent validation of these findings. The functional profiles of association obtained for patients populations from different countries were compared to each other. While gene associations were different at each series, the main functional associations were identical in all the five populations. These observations would also explain the reported low reproducibility of associations of individual disease genes across populations.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 7%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Researcher 4 13%
Other 3 10%
Student > Master 3 10%
Lecturer 2 7%
Other 5 17%
Unknown 7 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 30%
Medicine and Dentistry 6 20%
Biochemistry, Genetics and Molecular Biology 2 7%
Neuroscience 2 7%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 9 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 December 2013.
All research outputs
#5,976,068
of 22,733,113 outputs
Outputs from Orphanet Journal of Rare Diseases
#737
of 2,604 outputs
Outputs of similar age
#70,721
of 307,218 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#20
of 60 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,604 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 307,218 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 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.