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Attention Score in Context
| Title |
CytoASP: a Cytoscape app for qualitative consistency reasoning, prediction and repair in biological networks
|
|---|---|
| Published in |
BMC Systems Biology, July 2015
|
| DOI | 10.1186/s12918-015-0179-6 |
| Pubmed ID | |
| Authors |
Aristotelis Kittas, Amélie Barozet, Jekaterina Sereshti, Niels Grabe, Sophia Tsoka |
| Abstract |
Qualitative reasoning frameworks, such as the Sign Consistency Model (SCM), enable modelling regulatory networks to check whether observed behaviour can be explained or if unobserved behaviour can be predicted. The BioASP software collection offers ideal tools for such analyses. Additionally, the Cytoscape platform can offer extensive functionality and visualisation capabilities. However, specialist programming knowledge is required to use BioASP and no methods exist to integrate both of these software platforms effectively. We report the implementation of CytoASP, an app that allows the use of BioASP for influence graph consistency checking, prediction and repair operations through Cytoscape. While offering inherent benefits over traditional approaches using BioASP, it provides additional advantages such as customised visualisation of predictions and repairs, as well as the ability to analyse multiple networks in parallel, exploiting multi-core architecture. We demonstrate its usage in a case study of a yeast genetic network, and highlight its capabilities in reasoning over regulatory networks. We have presented a user-friendly Cytoscape app for the analysis of regulatory networks using BioASP. It allows easy integration of qualitative modelling, combining the functionality of BioASP with the visualisation and processing capability in Cytoscape, and thereby greatly simplifying qualitative network modelling, promoting its use in relevant projects. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 29% |
| Student > Ph. D. Student | 5 | 21% |
| Student > Bachelor | 4 | 17% |
| Other | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 38% |
| Agricultural and Biological Sciences | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Engineering | 2 | 8% |
| Earth and Planetary Sciences | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 2 | 8% |
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 July 2015.
All research outputs
#18,418,694
of 22,816,807 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#189,229
of 262,931 outputs
Outputs of similar age from BMC Systems Biology
#28
of 34 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.