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Recent approaches to the prioritization of candidate disease genes

Overview of attention for article published in Wiley Interdisciplinary Reviews: Systems Biology and Medicine, June 2012
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Mentioned by

twitter
2 tweeters

Citations

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32 Dimensions

Readers on

mendeley
70 Mendeley
citeulike
3 CiteULike
Title
Recent approaches to the prioritization of candidate disease genes
Published in
Wiley Interdisciplinary Reviews: Systems Biology and Medicine, June 2012
DOI 10.1002/wsbm.1177
Pubmed ID
Authors

Doncheva, Nadezhda T., Kacprowski, Tim, Albrecht, Mario

Abstract

Many efforts are still devoted to the discovery of genes involved with specific phenotypes, in particular, diseases. High-throughput techniques are thus applied frequently to detect dozens or even hundreds of candidate genes. However, the experimental validation of many candidates is often an expensive and time-consuming task. Therefore, a great variety of computational approaches has been developed to support the identification of the most promising candidates for follow-up studies. The biomedical knowledge already available about the disease of interest and related genes is commonly exploited to find new gene-disease associations and to prioritize candidates. In this review, we highlight recent methodological advances in this research field of candidate gene prioritization. We focus on approaches that use network information and integrate heterogeneous data sources. Furthermore, we discuss current benchmarking procedures for evaluating and comparing different prioritization methods.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Brazil 1 1%
United States 1 1%
Austria 1 1%
Canada 1 1%
Colombia 1 1%
Unknown 64 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 29%
Researcher 20 29%
Student > Master 13 19%
Professor > Associate Professor 6 9%
Student > Doctoral Student 3 4%
Other 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 46%
Computer Science 15 21%
Biochemistry, Genetics and Molecular Biology 11 16%
Unspecified 4 6%
Physics and Astronomy 3 4%
Other 5 7%

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 11 June 2012.
All research outputs
#7,765,317
of 12,377,802 outputs
Outputs from Wiley Interdisciplinary Reviews: Systems Biology and Medicine
#182
of 305 outputs
Outputs of similar age
#67,585
of 120,263 outputs
Outputs of similar age from Wiley Interdisciplinary Reviews: Systems Biology and Medicine
#3
of 5 outputs
Altmetric has tracked 12,377,802 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 305 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 32nd percentile – i.e., 32% 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 120,263 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.