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Collaboratively charting the gene-to-phenotype network of human congenital heart defects

Overview of attention for article published in Genome Medicine, March 2010
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 research highlight platform

Citations

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24 Dimensions

Readers on

mendeley
53 Mendeley
citeulike
3 CiteULike
Title
Collaboratively charting the gene-to-phenotype network of human congenital heart defects
Published in
Genome Medicine, March 2010
DOI 10.1186/gm137
Pubmed ID
Authors

Barriot R, Breckpot J, Thienpont B, Brohée S, Van Vooren S, Coessens B, Tranchevent LC, Van Loo P, Gewillig M, Devriendt K, Moreau Y, Roland Barriot, Jeroen Breckpot, Bernard Thienpont, Sylvain Brohée, Steven Van Vooren, Bert Coessens, Leon-Charles Tranchevent, Peter Van Loo, Marc Gewillig, Koenraad Devriendt, Yves Moreau

Abstract

How to efficiently integrate the daily practice of molecular biologists, geneticists, and clinicians with the emerging computational strategies from systems biology is still much of an open question.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 4%
United Kingdom 2 4%
United States 2 4%
China 1 2%
Hong Kong 1 2%
Unknown 45 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 34%
Student > Ph. D. Student 12 23%
Professor > Associate Professor 7 13%
Student > Bachelor 5 9%
Other 2 4%
Other 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 42%
Medicine and Dentistry 12 23%
Biochemistry, Genetics and Molecular Biology 9 17%
Unspecified 4 8%
Computer Science 3 6%
Other 3 6%

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 01 February 2012.
All research outputs
#2,015,351
of 3,616,176 outputs
Outputs from Genome Medicine
#317
of 380 outputs
Outputs of similar age
#101,432
of 230,510 outputs
Outputs of similar age from Genome Medicine
#15
of 22 outputs
Altmetric has tracked 3,616,176 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 380 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 9th percentile – i.e., 9% 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 230,510 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.