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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Precise generation of systems biology models from KEGG pathways
|
|---|---|
| Published in |
BMC Systems Biology, February 2013
|
| DOI | 10.1186/1752-0509-7-15 |
| Pubmed ID | |
| Authors |
Clemens Wrzodek, Finja Büchel, Manuel Ruff, Andreas Dräger, Andreas Zell |
| Abstract |
The KEGG PATHWAY database provides a plethora of pathways for a diversity of organisms. All pathway components are directly linked to other KEGG databases, such as KEGG COMPOUND or KEGG REACTION. Therefore, the pathways can be extended with an enormous amount of information and provide a foundation for initial structural modeling approaches. As a drawback, KGML-formatted KEGG pathways are primarily designed for visualization purposes and often omit important details for the sake of a clear arrangement of its entries. Thus, a direct conversion into systems biology models would produce incomplete and erroneous models. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 5% |
| Germany | 6 | 4% |
| Brazil | 2 | 1% |
| France | 2 | 1% |
| Netherlands | 1 | <1% |
| Latvia | 1 | <1% |
| Portugal | 1 | <1% |
| United Kingdom | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 126 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 26% |
| Researcher | 32 | 21% |
| Student > Master | 21 | 14% |
| Professor > Associate Professor | 9 | 6% |
| Student > Doctoral Student | 8 | 5% |
| Other | 26 | 17% |
| Unknown | 15 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 39% |
| Biochemistry, Genetics and Molecular Biology | 29 | 19% |
| Computer Science | 23 | 15% |
| Engineering | 8 | 5% |
| Chemical Engineering | 2 | 1% |
| Other | 10 | 7% |
| Unknown | 19 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 11 February 2016.
All research outputs
#6,050,879
of 23,344,526 outputs
Outputs from BMC Systems Biology
#200
of 1,143 outputs
Outputs of similar age
#48,734
of 194,475 outputs
Outputs of similar age from BMC Systems Biology
#5
of 20 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 82% 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 194,475 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.