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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reproducible computational biology experiments with SED-ML - The Simulation Experiment Description Markup Language
|
|---|---|
| Published in |
BMC Systems Biology, December 2011
|
| DOI | 10.1186/1752-0509-5-198 |
| Pubmed ID | |
| Authors |
Dagmar Waltemath, Richard Adams, Frank T Bergmann, Michael Hucka, Fedor Kolpakov, Andrew K Miller, Ion I Moraru, David Nickerson, Sven Sahle, Jacky L Snoep, Nicolas Le Novère |
| Abstract |
The increasing use of computational simulation experiments to inform modern biological research creates new challenges to annotate, archive, share and reproduce such experiments. The recently published Minimum Information About a Simulation Experiment (MIASE) proposes a minimal set of information that should be provided to allow the reproduction of simulation experiments among users and software tools. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 40% |
| Germany | 2 | 20% |
| Hong Kong | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 4 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| United Kingdom | 3 | 2% |
| France | 2 | 2% |
| Japan | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 111 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 30% |
| Researcher | 33 | 27% |
| Student > Bachelor | 9 | 7% |
| Professor > Associate Professor | 8 | 7% |
| Student > Master | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 26% |
| Computer Science | 30 | 25% |
| Engineering | 17 | 14% |
| Biochemistry, Genetics and Molecular Biology | 15 | 12% |
| Unspecified | 4 | 3% |
| Other | 11 | 9% |
| Unknown | 13 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 28 September 2020.
All research outputs
#1,196,008
of 22,659,164 outputs
Outputs from BMC Systems Biology
#13
of 1,142 outputs
Outputs of similar age
#8,194
of 242,419 outputs
Outputs of similar age from BMC Systems Biology
#2
of 50 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 242,419 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.