You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bayesian model selection validates a biokinetic model for zirconium processing in humans
|
|---|---|
| Published in |
BMC Systems Biology, August 2012
|
| DOI | 10.1186/1752-0509-6-95 |
| Pubmed ID | |
| Authors |
Daniel Schmidl, Sabine Hug, Wei Bo Li, Matthias B Greiter, Fabian J Theis |
| Abstract |
In radiation protection, biokinetic models for zirconium processing are of crucial importance in dose estimation and further risk analysis for humans exposed to this radioactive substance. They provide limiting values of detrimental effects and build the basis for applications in internal dosimetry, the prediction for radioactive zirconium retention in various organs as well as retrospective dosimetry. Multi-compartmental models are the tool of choice for simulating the processing of zirconium. Although easily interpretable, determining the exact compartment structure and interaction mechanisms is generally daunting. In the context of observing the dynamics of multiple compartments, Bayesian methods provide efficient tools for model inference and selection. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 30% |
| Researcher | 4 | 15% |
| Student > Master | 4 | 15% |
| Lecturer | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 15% |
| Computer Science | 3 | 11% |
| Mathematics | 3 | 11% |
| Environmental Science | 3 | 11% |
| Social Sciences | 2 | 7% |
| Other | 8 | 30% |
| Unknown | 4 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 October 2013.
All research outputs
#13,394,135
of 22,727,570 outputs
Outputs from BMC Systems Biology
#476
of 1,142 outputs
Outputs of similar age
#90,949
of 165,078 outputs
Outputs of similar age from BMC Systems Biology
#11
of 30 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 55% 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 165,078 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 60% of its contemporaries.