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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrating Bayesian variable selection with Modular Response Analysis to infer biochemical network topology
|
|---|---|
| Published in |
BMC Systems Biology, July 2013
|
| DOI | 10.1186/1752-0509-7-57 |
| Pubmed ID | |
| Authors |
Tapesh Santra, Walter Kolch, Boris N Kholodenko |
| Abstract |
Recent advancements in genetics and proteomics have led to the acquisition of large quantitative data sets. However, the use of these data to reverse engineer biochemical networks has remained a challenging problem. Many methods have been proposed to infer biochemical network topologies from different types of biological data. Here, we focus on unraveling network topologies from steady state responses of biochemical networks to successive experimental perturbations. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Netherlands | 1 | 1% |
| United Kingdom | 1 | 1% |
| Denmark | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 71 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 28% |
| Student > Ph. D. Student | 17 | 22% |
| Student > Master | 6 | 8% |
| Professor | 6 | 8% |
| Lecturer | 4 | 5% |
| Other | 15 | 20% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 24% |
| Biochemistry, Genetics and Molecular Biology | 15 | 20% |
| Computer Science | 9 | 12% |
| Mathematics | 5 | 7% |
| Medicine and Dentistry | 5 | 7% |
| Other | 13 | 17% |
| Unknown | 11 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 01 December 2022.
All research outputs
#5,240,498
of 25,374,917 outputs
Outputs from BMC Systems Biology
#141
of 1,132 outputs
Outputs of similar age
#41,919
of 206,607 outputs
Outputs of similar age from BMC Systems Biology
#4
of 30 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th 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 87% 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 206,607 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 79% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.