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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A framework for mapping, visualisation and automatic model creation of signal‐transduction networks
|
|---|---|
| Published in |
Molecular Systems Biology, April 2012
|
| DOI | 10.1038/msb.2012.12 |
| Pubmed ID | |
| Authors |
Carl-Fredrik Tiger, Falko Krause, Gunnar Cedersund, Robert Palmér, Edda Klipp, Stefan Hohmann, Hiroaki Kitano, Marcus Krantz |
| Abstract |
Intracellular signalling systems are highly complex. This complexity makes handling, analysis and visualisation of available knowledge a major challenge in current signalling research. Here, we present a novel framework for mapping signal-transduction networks that avoids the combinatorial explosion by breaking down the network in reaction and contingency information. It provides two new visualisation methods and automatic export to mathematical models. We use this framework to compile the presently most comprehensive map of the yeast MAP kinase network. Our method improves previous strategies by combining (I) more concise mapping adapted to empirical data, (II) individual referencing for each piece of information, (III) visualisation without simplifications or added uncertainty, (IV) automatic visualisation in multiple formats, (V) automatic export to mathematical models and (VI) compatibility with established formats. The framework is supported by an open source software tool that facilitates integration of the three levels of network analysis: definition, visualisation and mathematical modelling. The framework is species independent and we expect that it will have wider impact in signalling research on any system. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 9 | 4% |
| United States | 8 | 4% |
| United Kingdom | 5 | 2% |
| Japan | 2 | <1% |
| France | 2 | <1% |
| Spain | 2 | <1% |
| Chile | 1 | <1% |
| Italy | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 9 | 4% |
| Unknown | 167 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 62 | 30% |
| Student > Ph. D. Student | 57 | 28% |
| Student > Master | 26 | 13% |
| Professor > Associate Professor | 15 | 7% |
| Professor | 10 | 5% |
| Other | 26 | 13% |
| Unknown | 11 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 100 | 48% |
| Biochemistry, Genetics and Molecular Biology | 33 | 16% |
| Computer Science | 21 | 10% |
| Engineering | 7 | 3% |
| Medicine and Dentistry | 5 | 2% |
| Other | 21 | 10% |
| Unknown | 20 | 10% |
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 30 August 2012.
All research outputs
#14,784,344
of 25,374,917 outputs
Outputs from Molecular Systems Biology
#938
of 1,140 outputs
Outputs of similar age
#99,472
of 175,433 outputs
Outputs of similar age from Molecular Systems Biology
#8
of 13 outputs
Altmetric has tracked 25,374,917 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 1,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 17th percentile – i.e., 17% 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 175,433 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.