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Modeling the potential influence of economic migration on Ebola virus disease transmission dynamics

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, February 2023
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Title
Modeling the potential influence of economic migration on Ebola virus disease transmission dynamics
Published in
Frontiers in Applied Mathematics and Statistics, February 2023
DOI 10.3389/fams.2023.1024571
Authors

Sylvie Diane Djiomba Njankou, Farai Nyabadza

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Attention Score in Context

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 28 February 2023.
All research outputs
#20,840,438
of 23,454,152 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#272
of 352 outputs
Outputs of similar age
#256,153
of 328,763 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#8
of 11 outputs
Altmetric has tracked 23,454,152 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 352 research outputs from this source. They receive a mean Attention Score of 3.2. 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 328,763 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 11 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.