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Mendeley readers
Attention Score in Context
| Title |
Recent development and biomedical applications of probabilistic Boolean networks
|
|---|---|
| Published in |
Cell Communication and Signaling, July 2013
|
| DOI | 10.1186/1478-811x-11-46 |
| Pubmed ID | |
| Authors |
Panuwat Trairatphisan, Andrzej Mizera, Jun Pang, Alexandru Adrian Tantar, Jochen Schneider, Thomas Sauter |
| Abstract |
Probabilistic Boolean network (PBN) modelling is a semi-quantitative approach widely used for the study of the topology and dynamic aspects of biological systems. The combined use of rule-based representation and probability makes PBN appealing for large-scale modelling of biological networks where degrees of uncertainty need to be considered.A considerable expansion of our knowledge in the field of theoretical research on PBN can be observed over the past few years, with a focus on network inference, network intervention and control. With respect to areas of applications, PBN is mainly used for the study of gene regulatory networks though with an increasing emergence in signal transduction, metabolic, and also physiological networks. At the same time, a number of computational tools, facilitating the modelling and analysis of PBNs, are continuously developed.A concise yet comprehensive review of the state-of-the-art on PBN modelling is offered in this article, including a comparative discussion on PBN versus similar models with respect to concepts and biomedical applications. Due to their many advantages, we consider PBN to stand as a suitable modelling framework for the description and analysis of complex biological systems, ranging from molecular to physiological levels. |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Luxembourg | 3 | 4% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Taiwan | 1 | 1% |
| Unknown | 79 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 33% |
| Researcher | 13 | 15% |
| Student > Master | 9 | 11% |
| Professor > Associate Professor | 7 | 8% |
| Student > Bachelor | 6 | 7% |
| Other | 13 | 15% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 29% |
| Biochemistry, Genetics and Molecular Biology | 15 | 18% |
| Computer Science | 14 | 16% |
| Engineering | 8 | 9% |
| Medicine and Dentistry | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 9 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 23 September 2013.
All research outputs
#4,835,823
of 25,373,627 outputs
Outputs from Cell Communication and Signaling
#137
of 1,499 outputs
Outputs of similar age
#38,963
of 206,705 outputs
Outputs of similar age from Cell Communication and Signaling
#4
of 10 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,499 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 90% 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 206,705 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.