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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The systems biology format converter
|
|---|---|
| Published in |
BMC Bioinformatics, April 2016
|
| DOI | 10.1186/s12859-016-1000-2 |
| Pubmed ID | |
| Authors |
Nicolas Rodriguez, Jean-Baptiste Pettit, Piero Dalle Pezze, Lu Li, Arnaud Henry, Martijn P. van Iersel, Gael Jalowicki, Martina Kutmon, Kedar N. Natarajan, David Tolnay, Melanie I. Stefan, Chris T. Evelo, Nicolas Le Novère |
| Abstract |
Interoperability between formats is a recurring problem in systems biology research. Many tools have been developed to convert computational models from one format to another. However, they have been developed independently, resulting in redundancy of efforts and lack of synergy. Here we present the System Biology Format Converter (SBFC), which provide a generic framework to potentially convert any format into another. The framework currently includes several converters translating between the following formats: SBML, BioPAX, SBGN-ML, Matlab, Octave, XPP, GPML, Dot, MDL and APM. This software is written in Java and can be used as a standalone executable or web service. The SBFC framework is an evolving software project. Existing converters can be used and improved, and new converters can be easily added, making SBFC useful to both modellers and developers. The source code and documentation of the framework are freely available from the project web site. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 12% |
| Netherlands | 2 | 12% |
| United States | 1 | 6% |
| Taiwan | 1 | 6% |
| Japan | 1 | 6% |
| Greece | 1 | 6% |
| United Kingdom | 1 | 6% |
| Belgium | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 76% |
| Members of the public | 4 | 24% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 2% |
| Netherlands | 1 | 2% |
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 54 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 31% |
| Student > Ph. D. Student | 13 | 22% |
| Other | 6 | 10% |
| Student > Postgraduate | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 31% |
| Biochemistry, Genetics and Molecular Biology | 14 | 24% |
| Computer Science | 6 | 10% |
| Engineering | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 10 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 06 May 2016.
All research outputs
#2,605,164
of 24,336,902 outputs
Outputs from BMC Bioinformatics
#761
of 7,517 outputs
Outputs of similar age
#42,046
of 305,458 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 115 outputs
Altmetric has tracked 24,336,902 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,517 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 89% 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 305,458 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 86% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.