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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantification of viral infection dynamics in animal experiments
|
|---|---|
| Published in |
Frontiers in Microbiology, January 2013
|
| DOI | 10.3389/fmicb.2013.00264 |
| Pubmed ID | |
| Authors |
Shingo Iwami, Yoshiki Koizumi, Hiroki Ikeda, Yusuke Kakizoe |
| Abstract |
Analyzing the time-course of several viral infections using mathematical models based on experimental data can provide important quantitative insights regarding infection dynamics. Over the past decade, the importance and significance of mathematical modeling has been gaining recognition among virologists. In the near future, many animal models of human-specific infections and experimental data from high-throughput techniques will become available. This will provide us with the opportunity to develop new quantitative approaches, combining experimental and mathematical analyses. In this paper, we review the various quantitative analyses of viral infections and discuss their possible applications. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 10% |
| Japan | 1 | 3% |
| Unknown | 27 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 29% |
| Student > Ph. D. Student | 7 | 23% |
| Professor > Associate Professor | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 7 | 23% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 32% |
| Medicine and Dentistry | 5 | 16% |
| Immunology and Microbiology | 4 | 13% |
| Mathematics | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Other | 5 | 16% |
| Unknown | 1 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 September 2013.
All research outputs
#20,200,843
of 22,719,618 outputs
Outputs from Frontiers in Microbiology
#22,165
of 24,571 outputs
Outputs of similar age
#248,784
of 280,759 outputs
Outputs of similar age from Frontiers in Microbiology
#264
of 407 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,571 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 280,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.