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Mendeley readers
Attention Score in Context
| Title |
ENZO: A Web Tool for Derivation and Evaluation of Kinetic Models of Enzyme Catalyzed Reactions
|
|---|---|
| Published in |
PLOS ONE, July 2011
|
| DOI | 10.1371/journal.pone.0022265 |
| Pubmed ID | |
| Authors |
Staš Bevc, Janez Konc, Jure Stojan, Milan Hodošček, Matej Penca, Matej Praprotnik, Dušanka Janežič |
| Abstract |
We describe a web tool ENZO (Enzyme Kinetics), a graphical interface for building kinetic models of enzyme catalyzed reactions. ENZO automatically generates the corresponding differential equations from a stipulated enzyme reaction scheme. These differential equations are processed by a numerical solver and a regression algorithm which fits the coefficients of differential equations to experimentally observed time course curves. ENZO allows rapid evaluation of rival reaction schemes and can be used for routine tests in enzyme kinetics. It is freely available as a web tool, at http://enzo.cmm.ki.si. |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Portugal | 2 | 2% |
| Unknown | 83 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 30% |
| Student > Ph. D. Student | 20 | 23% |
| Student > Master | 11 | 13% |
| Professor | 4 | 5% |
| Student > Bachelor | 4 | 5% |
| Other | 15 | 17% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 32% |
| Biochemistry, Genetics and Molecular Biology | 11 | 13% |
| Chemistry | 9 | 10% |
| Engineering | 8 | 9% |
| Computer Science | 3 | 3% |
| Other | 18 | 21% |
| Unknown | 10 | 11% |
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 29 January 2018.
All research outputs
#7,453,350
of 22,786,087 outputs
Outputs from PLOS ONE
#88,758
of 194,503 outputs
Outputs of similar age
#42,277
of 119,455 outputs
Outputs of similar age from PLOS ONE
#957
of 2,235 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 49th percentile – i.e., 49% 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 119,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,235 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.