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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Boolean network simulations for life scientists
|
|---|---|
| Published in |
Source Code for Biology and Medicine, November 2008
|
| DOI | 10.1186/1751-0473-3-16 |
| Pubmed ID | |
| Authors |
István Albert, Juilee Thakar, Song Li, Ranran Zhang, Réka Albert |
| Abstract |
Modern life sciences research increasingly relies on computational solutions, from large scale data analyses to theoretical modeling. Within the theoretical models Boolean networks occupy an increasing role as they are eminently suited at mapping biological observations and hypotheses into a mathematical formalism. The conceptual underpinnings of Boolean modeling are very accessible even without a background in quantitative sciences, yet it allows life scientists to describe and explore a wide range of surprisingly complex phenomena. In this paper we provide a clear overview of the concepts used in Boolean simulations, present a software library that can perform these simulations based on simple text inputs and give three case studies. The large scale simulations in these case studies demonstrate the Boolean paradigms and their applicability as well as the advanced features and complex use cases that our software package allows. Our software is distributed via a liberal Open Source license and is freely accessible from http://booleannet.googlecode.com. |
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 315 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 5% |
| Brazil | 5 | 2% |
| Germany | 4 | 1% |
| Portugal | 2 | <1% |
| United Kingdom | 2 | <1% |
| Korea, Republic of | 2 | <1% |
| India | 2 | <1% |
| Italy | 2 | <1% |
| Hungary | 1 | <1% |
| Other | 11 | 3% |
| Unknown | 267 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 85 | 27% |
| Researcher | 77 | 24% |
| Student > Master | 35 | 11% |
| Student > Bachelor | 26 | 8% |
| Student > Doctoral Student | 23 | 7% |
| Other | 50 | 16% |
| Unknown | 19 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 131 | 42% |
| Biochemistry, Genetics and Molecular Biology | 51 | 16% |
| Computer Science | 34 | 11% |
| Engineering | 17 | 5% |
| Physics and Astronomy | 15 | 5% |
| Other | 40 | 13% |
| Unknown | 27 | 9% |
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 08 November 2011.
All research outputs
#15,238,442
of 22,656,971 outputs
Outputs from Source Code for Biology and Medicine
#86
of 127 outputs
Outputs of similar age
#74,003
of 87,816 outputs
Outputs of similar age from Source Code for Biology and Medicine
#3
of 3 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 is in the 25th percentile – i.e., 25% 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 87,816 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.