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CIDeR: multifactorial interaction networks in human diseases

Overview of attention for article published in Genome Biology, July 2012
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3 X users

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48 Mendeley
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3 CiteULike
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Title
CIDeR: multifactorial interaction networks in human diseases
Published in
Genome Biology, July 2012
DOI 10.1186/gb-2012-13-7-r62
Pubmed ID
Authors

Martin Lechner, Veit Höhn, Barbara Brauner, Irmtraud Dunger, Gisela Fobo, Goar Frishman, Corinna Montrone, Gabi Kastenmüller, Brigitte Waegele, Andreas Ruepp

Abstract

ABSTRACT: The pathobiology of common diseases is influenced by heterogeneous factors interacting in complex networks. CIDeR http://mips.helmholtz-muenchen.de/cider/ is a publicly available, manually curated, integrative database of metabolic and neurological disorders. The resource provides structured information on 18,813 experimentally validated interactions between molecules, bioprocesses and environmental factors extracted from the scientific literature. Systematic annotation and interactive graphical representation of disease networks make CIDeR a versatile knowledge base for biologists, analysis of large-scale data and systems biology approaches.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 10%
Germany 2 4%
Colombia 1 2%
Luxembourg 1 2%
Unknown 39 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 33%
Student > Ph. D. Student 13 27%
Professor 5 10%
Professor > Associate Professor 3 6%
Other 3 6%
Other 5 10%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 40%
Computer Science 8 17%
Biochemistry, Genetics and Molecular Biology 8 17%
Medicine and Dentistry 4 8%
Chemical Engineering 1 2%
Other 5 10%
Unknown 3 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 August 2012.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Genome Biology
#4,055
of 4,467 outputs
Outputs of similar age
#113,865
of 178,036 outputs
Outputs of similar age from Genome Biology
#42
of 46 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 8th percentile – i.e., 8% 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 178,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.