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CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks

Overview of attention for article published in Source Code for Biology and Medicine, November 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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6 Dimensions

Readers on

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31 Mendeley
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Title
CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks
Published in
Source Code for Biology and Medicine, November 2015
DOI 10.1186/s13029-015-0043-5
Pubmed ID
Authors

Maciej Fronczuk, Adrian E. Raftery, Ka Yee Yeung

Abstract

Inference of gene networks from expression data is an important problem in computational biology. Many algorithms have been proposed for solving the problem efficiently. However, many of the available implementations are programming libraries that require users to write code, which limits their accessibility. We have developed a tool called CyNetworkBMA for inferring gene networks from expression data that integrates with Cytoscape. Our application offers a graphical user interface for networkBMA, an efficient implementation of Bayesian Model Averaging methods for network construction. The client-server architecture of CyNetworkBMA makes it possible to distribute or centralize computation depending on user needs. CyNetworkBMA is an easy-to-use tool that makes network inference accessible to non-programmers through seamless integration with Cytoscape. CyNetworkBMA is available on the Cytoscape App Store at http://apps.cytoscape.org/apps/cynetworkbma.

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 29%
Student > Master 4 13%
Student > Bachelor 3 10%
Professor > Associate Professor 3 10%
Student > Ph. D. Student 3 10%
Other 5 16%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 35%
Computer Science 6 19%
Engineering 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Mathematics 1 3%
Other 4 13%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 December 2015.
All research outputs
#13,216,332
of 22,832,057 outputs
Outputs from Source Code for Biology and Medicine
#58
of 127 outputs
Outputs of similar age
#129,758
of 282,576 outputs
Outputs of similar age from Source Code for Biology and Medicine
#4
of 6 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 51% 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 282,576 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 6 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.