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X Demographics
Mendeley readers
Attention Score in Context
| Title |
FAME, the Flux Analysis and Modeling Environment
|
|---|---|
| Published in |
BMC Systems Biology, January 2012
|
| DOI | 10.1186/1752-0509-6-8 |
| Pubmed ID | |
| Authors |
Joost Boele, Brett G Olivier, Bas Teusink |
| Abstract |
The creation and modification of genome-scale metabolic models is a task that requires specialized software tools. While these are available, subsequently running or visualizing a model often relies on disjoint code, which adds additional actions to the analysis routine and, in our experience, renders these applications suboptimal for routine use by (systems) biologists. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Netherlands | 1 | 14% |
| India | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 3 | 1% |
| United States | 3 | 1% |
| Latvia | 3 | 1% |
| Portugal | 2 | <1% |
| France | 2 | <1% |
| United Kingdom | 2 | <1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Singapore | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 204 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 23% |
| Researcher | 48 | 21% |
| Student > Master | 29 | 13% |
| Student > Bachelor | 22 | 10% |
| Professor > Associate Professor | 11 | 5% |
| Other | 32 | 14% |
| Unknown | 32 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 95 | 42% |
| Biochemistry, Genetics and Molecular Biology | 34 | 15% |
| Computer Science | 19 | 8% |
| Engineering | 13 | 6% |
| Chemistry | 5 | 2% |
| Other | 17 | 8% |
| Unknown | 42 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 21 March 2018.
All research outputs
#4,622,287
of 24,742,536 outputs
Outputs from BMC Systems Biology
#130
of 1,132 outputs
Outputs of similar age
#38,386
of 256,790 outputs
Outputs of similar age from BMC Systems Biology
#11
of 40 outputs
Altmetric has tracked 24,742,536 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 88% 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 256,790 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 85% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.