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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
A mathematical model for the within-host (re)infection dynamics of SARS-CoV-2
|
---|---|
Published in |
Mathematical Biosciences, March 2024
|
DOI | 10.1016/j.mbs.2024.109178 |
Pubmed ID | |
Authors |
Lea Schuh, Peter V Markov, Vladimir M Veliov, Nikolaos I Stilianakis |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 2 | 11% |
France | 2 | 11% |
New Zealand | 1 | 5% |
Belgium | 1 | 5% |
Unknown | 13 | 68% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 16 | 84% |
Scientists | 2 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 33% |
Professor | 1 | 17% |
Student > Doctoral Student | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 33% |
Agricultural and Biological Sciences | 1 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Unknown | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 April 2024.
All research outputs
#4,613,547
of 26,461,995 outputs
Outputs from Mathematical Biosciences
#86
of 907 outputs
Outputs of similar age
#65,592
of 356,232 outputs
Outputs of similar age from Mathematical Biosciences
#1
of 8 outputs
Altmetric has tracked 26,461,995 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 907 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 90% 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 356,232 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them