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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rule-based multi-level modeling of cell biological systems
|
|---|---|
| Published in |
BMC Systems Biology, October 2011
|
| DOI | 10.1186/1752-0509-5-166 |
| Pubmed ID | |
| Authors |
Carsten Maus, Stefan Rybacki, Adelinde M Uhrmacher |
| Abstract |
Proteins, individual cells, and cell populations denote different levels of an organizational hierarchy, each of which with its own dynamics. Multi-level modeling is concerned with describing a system at these different levels and relating their dynamics. Rule-based modeling has increasingly attracted attention due to enabling a concise and compact description of biochemical systems. In addition, it allows different methods for model analysis, since more than one semantics can be defined for the same syntax. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 4% |
| United States | 4 | 3% |
| France | 2 | 1% |
| Portugal | 1 | <1% |
| Ireland | 1 | <1% |
| Chile | 1 | <1% |
| Germany | 1 | <1% |
| Mexico | 1 | <1% |
| Egypt | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 122 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 27% |
| Student > Ph. D. Student | 37 | 26% |
| Student > Master | 15 | 11% |
| Student > Bachelor | 13 | 9% |
| Professor > Associate Professor | 13 | 9% |
| Other | 16 | 11% |
| Unknown | 9 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 37% |
| Computer Science | 37 | 26% |
| Biochemistry, Genetics and Molecular Biology | 12 | 8% |
| Engineering | 9 | 6% |
| Medicine and Dentistry | 4 | 3% |
| Other | 16 | 11% |
| Unknown | 12 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 2014.
All research outputs
#3,798,945
of 25,374,647 outputs
Outputs from BMC Systems Biology
#95
of 1,132 outputs
Outputs of similar age
#20,207
of 150,537 outputs
Outputs of similar age from BMC Systems Biology
#3
of 43 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd 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 particularly well, scoring higher than 91% 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 150,537 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 43 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 93% of its contemporaries.